{"id":97700,"date":"2026-09-18T06:13:15","date_gmt":"2026-09-18T03:13:15","guid":{"rendered":"https:\/\/twodots.gr\/?p=97700"},"modified":"2026-09-18T06:13:17","modified_gmt":"2026-09-18T03:13:17","slug":"llm-elegxos-activations-monitoring-benchmark","status":"publish","type":"post","link":"https:\/\/twodots.gr\/bg\/llm-elegxos-activations-monitoring-benchmark\/","title":{"rendered":"\u039c\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03c4\u03b1 LLMs \u03bd\u03b1 \u03ba\u03c1\u03cd\u03c8\u03bf\u03c5\u03bd \u03c4\u03b7 \u03c3\u03ba\u03ad\u03c8\u03b7 \u03c4\u03bf\u03c5\u03c2; \u03a4\u03bf benchmark \u03c0\u03bf\u03c5 \u03bc\u03b5\u03c4\u03c1\u03ac \u03c4\u03bf\u03bd \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03c4\u03c9\u03bd activations"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u0391\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ce\u03c4\u03b1:<\/strong> \u03bd\u03b1\u03b9, \u03c0\u03bf\u03bb\u03bb\u03ac \u03c3\u03b7\u03bc\u03b5\u03c1\u03b9\u03bd\u03ac open-weight LLMs \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd, \u03cd\u03c3\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03cc \u03b1\u03c0\u03bb\u03ae \u03bf\u03b4\u03b7\u03b3\u03af\u03b1 \u03c6\u03c5\u03c3\u03b9\u03ba\u03ae\u03c2 \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1\u03c2, \u03bd\u03b1 \u03b1\u03c5\u03be\u03ae\u03c3\u03bf\u03c5\u03bd, \u03bd\u03b1 \u03bc\u03b5\u03b9\u03ce\u03c3\u03bf\u03c5\u03bd \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c1\u03c5\u03b8\u03bc\u03af\u03c3\u03bf\u03c5\u03bd \u03c7\u03bf\u03bd\u03b4\u03c1\u03b9\u03ba\u03ac \u03ad\u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf concept signal \u03c3\u03c4\u03bf residual stream \u03c4\u03bf\u03c5\u03c2. \u03a3\u03c4\u03bf Activation Controllability Benchmark, 25 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b1\u03c0\u03cc \u03b5\u03c0\u03c4\u03ac \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 \u03c0\u03ad\u03c4\u03c5\u03c7\u03b1\u03bd \u03c0\u03bf\u03bb\u03cd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c0\u03b9\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2, \u03bc\u03b5 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc score S \u03b1\u03c0\u03cc 0,059 \u03ad\u03c9\u03c2 0,538.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03cc\u03bd\u03bf\u03bc\u03b7 \u03b5\u03be\u03b1\u03c0\u03ac\u03c4\u03b7\u03c3\u03b7 \u03bf\u03cd\u03c4\u03b5 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u00ab\u03b2\u03bb\u03ad\u03c0\u03b5\u03b9\u00bb \u03c4\u03bf \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc \u03c4\u03bf\u03c5 \u03cc\u03c0\u03c9\u03c2 \u03ad\u03bd\u03b1\u03c2 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03cc\u03c2. \u0394\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03cc\u03c4\u03b9 \u03c4\u03b1 activations \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b8\u03b5\u03c9\u03c1\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c0\u03b1\u03b8\u03b7\u03c4\u03b9\u03ba\u03cc, \u03b1\u03bc\u03b5\u03c4\u03ac\u03b2\u03bb\u03b7\u03c4\u03bf \u03ba\u03b1\u03bd\u03ac\u03bb\u03b9 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2: \u03c3\u03c4\u03bf \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1, \u03b7 suppression instruction \u03b1\u03c0\u03ad\u03c6\u03c5\u03b3\u03b5 \u03bc\u03b5\u03c1\u03b9\u03ba\u03ce\u03c2 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03b1\u03c0\u03bb\u03ad\u03c2 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 monitors. \u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03b1\u03bd\u03c4\u03af\u03b4\u03c1\u03b1\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 layered monitoring, adversarial evaluation \u03ba\u03b1\u03b9 \u03bd\u03ad\u03bf baseline \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03ae serving stack.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">\u0421\u044a\u0434\u044a\u0440\u0436\u0430\u043d\u0438\u0435<\/div>\n<ul>\n<li><a href=\"#latent-monitoring\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf latent-space monitoring \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b4\u03b9\u03ba\u03cc \u03c4\u03bf\u03c5 threat model<\/a><\/li>\n<li><a href=\"#peirama-antigrafis\">\u03a0\u03ce\u03c2 \u03b7 \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc \u03c3\u03ae\u03bc\u03b1<\/a><\/li>\n<li><a href=\"#eksi-metriseis\">\u039f\u03b9 \u03ad\u03be\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5 Activation Controllability Benchmark<\/a><\/li>\n<li><a href=\"#apotelesmata-montelon\">\u03a4\u03bf \u03bc\u03ad\u03b3\u03b5\u03b8\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03ad\u03b2\u03bb\u03b5\u03c8\u03b5 \u03c4\u03bf\u03bd \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf<\/a><\/li>\n<li><a href=\"#entasi-vathos\">\u0388\u03bd\u03c4\u03b1\u03c3\u03b7, tokens \u03ba\u03b1\u03b9 \u03b2\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03b1 layers<\/a><\/li>\n<li><a href=\"#chronismos-layer-targeting\">\u039f \u03c7\u03c1\u03bf\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c7\u03bf\u03bd\u03b4\u03c1\u03b9\u03ba\u03ac, \u03c4\u03bf layer targeting \u03cc\u03c7\u03b9<\/a><\/li>\n<li><a href=\"#task-load\">\u03a4\u03b9 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf task \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf<\/a><\/li>\n<li><a href=\"#monitor-evasion\">\u03a0\u03ce\u03c2 \u03b1\u03c0\u03ad\u03c4\u03c5\u03c7\u03b1\u03bd \u03bc\u03b5\u03c1\u03b9\u03ba\u03ce\u03c2 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 monitor families<\/a><\/li>\n<li><a href=\"#ti-den-apodeiknyei\">\u03a4\u03b9 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7<\/a><\/li>\n<li><a href=\"#epicheirimatiki-diakyvernisi\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 AI \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03b1 \u03ba\u03b1\u03b9 governance<\/a><\/li>\n<li><a href=\"#praktiko-plaisio\">\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae<\/a><\/li>\n<li><a href=\"#symperasma\">\u03a4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1: \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7, \u03cc\u03c7\u03b9 \u03c0\u03b1\u03bd\u03b9\u03ba\u03cc\u03c2<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"latent-monitoring\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf latent-space monitoring \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b4\u03b9\u03ba\u03cc \u03c4\u03bf\u03c5 threat model<\/h2>\n<p>\u039f\u03b9 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03b9\u03ba\u03ad\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b2\u03bb\u03ad\u03c0\u03bf\u03c5\u03bd \u03cc,\u03c4\u03b9 \u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03ae \u03ba\u03ac\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf. \u0391\u03bd \u03cc\u03bc\u03c9\u03c2 \u03ad\u03bd\u03b1 evaluation-aware \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac, \u03b7 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b7\u03bd \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03cc\u03bb\u03b7 \u03c4\u03b7 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1. \u03a4\u03bf latent-space monitoring \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b9\u03b1\u03b2\u03ac\u03c3\u03b5\u03b9 \u03b5\u03bd\u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03b5\u03c2 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u2014\u03c4\u03b1 activations\u2014 \u03c0\u03c1\u03b9\u03bd \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03b1\u03c0\u03bf\u03cd\u03bd \u03c3\u03b5 \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03ae \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1.<\/p>\n<p>\u0391\u03c5\u03c4\u03ae \u03b7 \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03bc\u03cc\u03bd\u03bf \u03b5\u03c6\u03cc\u03c3\u03bf\u03bd \u03c4\u03bf \u03ba\u03b1\u03bd\u03ac\u03bb\u03b9 \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ac \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03bf. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u00abMeasuring Activation Control in Large Language Models\u00bb \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc \u03c3\u03c5\u03b3\u03c7\u03c5\u03c4\u03b9\u03ba\u03cc \u03c0\u03b1\u03c1\u03ac\u03b3\u03bf\u03bd\u03c4\u03b1: \u03c4\u03b9 \u03c3\u03c5\u03bc\u03b2\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03bc\u03b9\u03b1 \u03bf\u03b4\u03b7\u03b3\u03af\u03b1 \u03c0\u03c1\u03bf\u03c2 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c3\u03c5\u03c3\u03c4\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf \u03c3\u03ae\u03bc\u03b1 \u03c0\u03bf\u03c5 \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03bf monitor;<\/p>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03bd \u03c4\u03b7 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c9\u03c2 read access \u03ba\u03b1\u03b9 write access. \u0388\u03bd\u03b1\u03c2 monitor \u03b1\u03c0\u03bf\u03ba\u03c4\u03ac read access \u03cc\u03c4\u03b1\u03bd \u03b4\u03b9\u03b1\u03b2\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf residual stream. \u03a4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03bc\u03bf\u03c1\u03c6\u03ae write access \u03cc\u03c4\u03b1\u03bd \u03b7 \u03c6\u03c5\u03c3\u03b9\u03ba\u03ae \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1 \u03bc\u03b5\u03c4\u03b1\u03b2\u03ac\u03bb\u03bb\u03b5\u03b9 \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7, \u03c4\u03b7\u03bd \u03ad\u03bd\u03c4\u03b1\u03c3\u03b7 \u03ae \u03c4\u03b7 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03b8\u03ad\u03c3\u03b7 \u03bc\u03b9\u03b1\u03c2 concept representation. \u0394\u03b5\u03bd \u03c0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c3\u03b5 registers \u03ae \u03b3\u03b9\u03b1 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 tensor. \u03a0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b5\u03c0\u03af\u03b4\u03c1\u03b1\u03c3\u03b7 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03bf \u03ba\u03b1\u03bd\u03ac\u03bb\u03b9 \u03c0\u03b1\u03c1\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7\u03c2.<\/p>\n<div class=\"td-comparison td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--three\">\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Behavioral monitoring \u00b7 \u03a4\u03b9 \u03ba\u03ac\u03bd\u03b5\u03b9<\/p>\n<p>\u0395\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03c0\u03b1\u03bd\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2, tool calls, policies \u03ba\u03b1\u03b9 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1. \u0395\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03bf, \u03b1\u03bb\u03bb\u03ac \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03ac\u03c3\u03b5\u03b9 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ac.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Output evidence<\/span><span class=\"td-badge\">Runtime rules<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">Activation monitoring \u00b7 \u03a4\u03b9 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b9\u03c3\u03c4\u03ac<\/p>\n<p>\u0394\u03b9\u03b1\u03b2\u03ac\u03b6\u03b5\u03b9 \u03b5\u03bd\u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03b1 activations \u03b3\u03b9\u03b1 \u03c3\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c0\u03bf\u03c5 \u03af\u03c3\u03c9\u03c2 \u03b4\u03b5\u03bd \u03c6\u03c4\u03ac\u03bd\u03bf\u03c5\u03bd \u03c3\u03c4\u03b7\u03bd \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 stress tests \u03b3\u03b9\u03b1 instruction sensitivity \u03ba\u03b1\u03b9 evasion.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Latent evidence<\/span><span class=\"td-badge\">Distribution shifts<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Layered defense \u00b7 \u03a4\u03b9 \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9<\/p>\n<p>\u03a3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03b9 output checks, probes, \u03b4\u03b9\u03ba\u03b1\u03b9\u03ce\u03bc\u03b1\u03c4\u03b1, sandboxing, \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b1 approvals \u03ba\u03b1\u03b9 incident review \u03ce\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 monitor \u03bd\u03b1 \u03bc\u03b7\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 single point of failure.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Defense in depth<\/span><span class=\"td-badge\">Fallbacks<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0397 \u03ad\u03c1\u03b5\u03c5\u03bd\u03b1 \u03b4\u03b5\u03bd \u03b1\u03ba\u03c5\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf activation monitoring. \u0391\u03bd\u03b1\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 adversarial threat model, \u03cc\u03c0\u03c9\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03ac\u03bb\u03bb\u03bf\u03c2 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03b1\u03c3\u03c6\u03b1\u03bb\u03b5\u03af\u03b1\u03c2. \u0391\u03c5\u03c4\u03cc \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf \u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1 \u03c4\u03b7\u03c2 <a href=\"https:\/\/twodots.gr\/decodeshare-pos-apofasizei-ena-llm-sto-decode\/\">\u03c0\u03b1\u03c1\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7\u03c2 \u03b5\u03bd\u03cc\u03c2 LLM \u03c4\u03b7 \u03c3\u03c4\u03b9\u03b3\u03bc\u03ae \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03b6\u03b5\u03b9<\/a>: \u03b7 \u03bf\u03c1\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b9\u03c3\u03bf\u03b4\u03c5\u03bd\u03b1\u03bc\u03b5\u03af \u03b1\u03c0\u03cc \u03bc\u03cc\u03bd\u03b7 \u03c4\u03b7\u03c2 \u03bc\u03b5 \u03b1\u03bb\u03ae\u03b8\u03b5\u03b9\u03b1.<\/p>\n<h2 id=\"peirama-antigrafis\">\u03a0\u03ce\u03c2 \u03b7 \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc \u03c3\u03ae\u03bc\u03b1<\/h2>\n<p>\u03a4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc task \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03ba\u03cc\u03c0\u03b9\u03bc\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf. \u03a4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03ba\u03b1\u03bb\u03b5\u03af\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03ac\u03c8\u03b5\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03bc\u03af\u03b1 \u03b1\u03c0\u03cc 50 \u03bf\u03c5\u03b4\u03ad\u03c4\u03b5\u03c1\u03b5\u03c2 \u03c0\u03c1\u03bf\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2, \u03b5\u03bd\u03ce \u03bc\u03b9\u03b1 \u03b5\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03c9\u03bc\u03ad\u03bd\u03b7 \u03bf\u03b4\u03b7\u03b3\u03af\u03b1 \u03c4\u03bf\u03c5 \u03b6\u03b7\u03c4\u03ac, \u03b3\u03b9\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1, \u03bd\u03b1 \u00ab\u03c3\u03ba\u03ad\u03c6\u03c4\u03b5\u03c4\u03b1\u03b9 \u03c4\u03bf \u03c8\u03c9\u03bc\u03af\u00bb, \u03bd\u03b1 \u03bc\u03b7\u03bd \u03c4\u03bf \u03c3\u03ba\u03ad\u03c6\u03c4\u03b5\u03c4\u03b1\u03b9, \u03bd\u03b1 \u03c4\u03bf \u03c3\u03ba\u03ad\u03c6\u03c4\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03ad\u03bd\u03c4\u03b1\u03c3\u03b7 1 \u03ad\u03c9\u03c2 4 \u03ae \u03bc\u03cc\u03bd\u03bf \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03c4\u03bc\u03ae\u03bc\u03b1 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7\u03c2.<\/p>\n<p>\u039c\u03b9\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae \u03ba\u03c1\u03b1\u03c4\u03b9\u03ad\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u03ad\u03c7\u03b5\u03b9 case-insensitive sequence similarity \u03c4\u03bf\u03c5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03bf\u03bd 0,85. \u0388\u03c4\u03c3\u03b9 \u03b7 \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03bc\u03ad\u03bd\u03b5\u03b9 \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03ce\u03c3\u03b5\u03b9 \u03c0\u03b9\u03bf \u03ba\u03b1\u03b8\u03b1\u03c1\u03ac \u03c4\u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03c4\u03bf embedded instruction. \u038c\u03bb\u03b1 \u03c4\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03ba\u03ac\u03bd\u03bf\u03c5\u03bd greedy decoding \u03c3\u03b5 temperature 0, \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd \u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<p>\u0393\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 concept \u03ba\u03b1\u03b9 layer, \u03bf\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03bd \u03bc\u03b9\u03b1 concept direction. \u03a0\u03b1\u03af\u03c1\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf residual \u03c3\u03c4\u03bf \u03c4\u03b5\u03bb\u03b5\u03c5\u03c4\u03b1\u03af\u03bf prompt token \u03c4\u03bf\u03c5 \u00abTell me about {concept}\u00bb \u03ba\u03b1\u03b9 \u03b1\u03c6\u03b1\u03b9\u03c1\u03bf\u03cd\u03bd \u03c4\u03bf\u03bd \u03bc\u03ad\u03c3\u03bf residual 99 \u03ac\u03c3\u03c7\u03b5\u03c4\u03c9\u03bd \u03bb\u03ad\u03be\u03b5\u03c9\u03bd. \u039c\u03b5\u03c4\u03ac \u03c0\u03c1\u03bf\u03b2\u03ac\u03bb\u03bb\u03bf\u03c5\u03bd \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7 \u03c4\u03bf residual \u03ba\u03ac\u03b8\u03b5 generated token.<\/p>\n<p>\u0397 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af raw, unnormalized projection. \u0391\u03c5\u03c4\u03cc \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c3\u03c5\u03bd\u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03b9 \u03c4\u03cc\u03c3\u03bf \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7 \u03cc\u03c3\u03bf \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03bd\u03cc\u03c1\u03bc\u03b1 \u03c4\u03bf\u03c5 residual, \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03b5 cosine similarity. \u0397 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b1 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b6\u03b5\u03cd\u03b3\u03bf\u03c2 \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 concept, \u03c3\u03c5\u03bd\u03bf\u03c8\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf \u03b1\u03c0\u03cc \u03c4\u03b7 \u03bc\u03ad\u03c3\u03b7 \u03c0\u03c1\u03bf\u03b2\u03bf\u03bb\u03ae \u03c4\u03c9\u03bd generated tokens.<\/p>\n<aside class=\"td-article-note\"><strong>\u0397 \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf \u03b1\u03c0\u03bf\u03bc\u03cc\u03bd\u03c9\u03c3\u03b7\u03c2, \u03cc\u03c7\u03b9 \u03c0\u03c1\u03bf\u03c3\u03bf\u03bc\u03bf\u03af\u03c9\u03c3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2:<\/strong> \u03ba\u03c1\u03b1\u03c4\u03ac \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc \u03c4\u03bf \u03bf\u03c1\u03b1\u03c4\u03cc \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b9\u03c3\u03c4\u03ac agentic workflow, \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf context window, \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac tool calls \u03ae \u03c0\u03b5\u03c1\u03af\u03c0\u03bb\u03bf\u03ba\u03b7 \u03b1\u03c0\u03cc\u03c0\u03b5\u03b9\u03c1\u03b1 \u03b1\u03c0\u03bf\u03c6\u03c5\u03b3\u03ae\u03c2 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5.<\/aside>\n<p>\u0397 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03c3\u03c5\u03b3\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1 \u03bc\u03b5 \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03b5\u03c2 \u03c0\u03c1\u03bf\u03c3\u03c0\u03ac\u03b8\u03b5\u03b9\u03b5\u03c2 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5 \u03c4\u03b7\u03c2 \u03b5\u03bd\u03b4\u03bf\u03c3\u03ba\u03cc\u03c0\u03b7\u03c3\u03b7\u03c2 \u03c4\u03c9\u03bd \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd. \u03a4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03b5\u03b4\u03ce \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03bd \u03c1\u03c9\u03c4\u03ac \u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b4\u03af\u03bd\u03b5\u03b9 \u03c0\u03b9\u03c3\u03c4\u03ae \u03bb\u03b5\u03ba\u03c4\u03b9\u03ba\u03ae \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7, \u03b1\u03bb\u03bb\u03ac \u03b1\u03bd \u03bc\u03b9\u03b1 \u03c6\u03c5\u03c3\u03b9\u03ba\u03bf\u03b3\u03bb\u03c9\u03c3\u03c3\u03b9\u03ba\u03ae \u03bf\u03b4\u03b7\u03b3\u03af\u03b1 \u03bc\u03b5\u03c4\u03b1\u03ba\u03b9\u03bd\u03b5\u03af \u03bc\u03b5 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b9\u03bc\u03bf \u03c4\u03c1\u03cc\u03c0\u03bf \u03c4\u03bf residual-stream signal.<\/p>\n<h2 id=\"eksi-metriseis\">\u039f\u03b9 \u03ad\u03be\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5 Activation Controllability Benchmark<\/h2>\n<p>\u03a4\u03bf benchmark \u03b1\u03c0\u03bf\u03c6\u03b5\u03cd\u03b3\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c4\u03b7\u03c1\u03b9\u03c7\u03b8\u03b5\u03af \u03c3\u03b5 \u03bc\u03af\u03b1 \u03bc\u03cc\u03bd\u03bf \u03b5\u03cd\u03ba\u03bf\u03bb\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7. \u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af Engage, Suppress, Dial Rank, Temporal Control, Coverage \u03ba\u03b1\u03b9 Layer Targeting. \u039a\u03ac\u03b8\u03b5 \u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03b5\u03af\u03b4\u03bf\u03c2 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03cc\u03bb\u03b5\u03c2 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc score S.<\/p>\n<p>\u03a4\u03bf Engage \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03bf\u03b4\u03b7\u03b3\u03af\u03b1 \u00abthink about\u00bb \u03bc\u03b5 \u03c4\u03bf no-instruction baseline. \u03a4\u03bf Suppress \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf \u00abdo not think about\u00bb \u03bc\u03b5 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf baseline. \u03a4\u03bf Dial Rank \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03b1\u03bd \u03bf\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ad\u03c2 \u03bf\u03b4\u03b7\u03b3\u03af\u03b5\u03c2 \u03ad\u03bd\u03c4\u03b1\u03c3\u03b7\u03c2 1\/4, 2\/4, 3\/4 \u03ba\u03b1\u03b9 4\/4 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03bc\u03bf\u03bd\u03bf\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03c3\u03b5\u03b9\u03c1\u03ac.<\/p>\n<p>\u03a4\u03bf Temporal Control \u03bc\u03b5\u03c4\u03c1\u03ac \u03b1\u03bd \u03c4\u03bf signal \u03b5\u03af\u03bd\u03b1\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf \u03b6\u03b7\u03c4\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf \u03c4\u03bc\u03ae\u03bc\u03b1 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7\u03c2 \u03b1\u03c0\u2019 \u03cc,\u03c4\u03b9 \u03ad\u03be\u03c9 \u03b1\u03c0\u03cc \u03b1\u03c5\u03c4\u03cc. \u03a4\u03bf Coverage \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7 modulation \u03c3\u03c4\u03bf \u03b1\u03c3\u03b8\u03b5\u03bd\u03ad\u03c3\u03c4\u03b5\u03c1\u03bf token type, \u03ce\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 \u03c5\u03c8\u03b7\u03bb\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03bd\u03b1 \u03bc\u03b7\u03bd \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03b5\u03cd\u03ba\u03bf\u03bb\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03c3\u03c4\u03af\u03be\u03b7\u03c2. \u03a4\u03bf Layer Targeting \u03c1\u03c9\u03c4\u03ac \u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03c3\u03b5\u03b9 \u03c4\u03b7 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bf\u03bb\u03ae \u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf layer.<\/p>\n<p>\u03a0\u03ad\u03bd\u03c4\u03b5 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b2\u03b1\u03c3\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf\u03bd sensitivity index d\u2032. \u03a4\u03bf Dial Rank \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af Spearman \u03c1. \u039f\u03b9 \u03ad\u03be\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03c0\u03b5\u03c1\u03bd\u03bf\u03cd\u03bd \u03b1\u03c0\u03cc link functions \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03b3\u03b5\u03c9\u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03cc \u03bc\u03ad\u03c3\u03bf \u03c3\u03b5 S \u03b1\u03c0\u03cc 0 \u03ad\u03c9\u03c2 1. \u0388\u03c4\u03c3\u03b9 \u03bc\u03b9\u03b1 \u03c0\u03bf\u03bb\u03cd \u03b9\u03c3\u03c7\u03c5\u03c1\u03ae \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c8\u03b5\u03b9 \u03c0\u03bb\u03ae\u03c1\u03c9\u03c2 \u03c4\u03b7\u03bd \u03b1\u03c0\u03bf\u03c5\u03c3\u03af\u03b1 \u03ac\u03bb\u03bb\u03c9\u03bd \u03bc\u03bf\u03c1\u03c6\u03ce\u03bd \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5.<\/p>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c0\u03c1\u03bf\u03b5\u03b9\u03b4\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd \u03cc\u03c4\u03b9 \u03bf\u03b9 \u03b4\u03b9\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bf\u03bb\u03cd\u03c4\u03c9\u03c2 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b5\u03c2: \u03c4\u03bf Coverage, \u03b3\u03b9\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1, \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf Engage. \u038c\u03c0\u03bf\u03c5 \u03c5\u03c0\u03ae\u03c1\u03c7\u03b1\u03bd \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b1 raw recordings, \u03c4\u03b1 \u03b4\u03b9\u03b1\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd \u03bc\u03b5 two-way cluster bootstrap \u03c9\u03c2 \u03c0\u03c1\u03bf\u03c2 \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 concept, \u03bc\u03b5 2.000 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03ae\u03c8\u03b5\u03b9\u03c2. \u03a4\u03b1 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03bc\u03b5 point estimates.<\/p>\n<h2 id=\"apotelesmata-montelon\">\u03a4\u03bf \u03bc\u03ad\u03b3\u03b5\u03b8\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03ad\u03b2\u03bb\u03b5\u03c8\u03b5 \u03c4\u03bf\u03bd \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf<\/h2>\n<p>\u03a4\u03bf \u03b4\u03b5\u03af\u03b3\u03bc\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bb\u03ac\u03bc\u03b2\u03b1\u03bd\u03b5 25 instruction-tuned open-weight \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b5\u03c0\u03c4\u03ac \u03bf\u03b9\u03ba\u03bf\u03b3\u03b5\u03bd\u03b5\u03b9\u03ce\u03bd, \u03b1\u03c0\u03cc 4 \u03ad\u03c9\u03c2 744 \u03b4\u03b9\u03c3\u03b5\u03ba\u03b1\u03c4\u03bf\u03bc\u03bc\u03cd\u03c1\u03b9\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03ba\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u03c4\u03c9\u03bd \u03b5\u03c4\u03ce\u03bd 2024\u20132026. \u03a4\u03bf \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc S \u03ba\u03c5\u03bc\u03ac\u03bd\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 0,059 \u03ad\u03c9\u03c2 0,538.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-title\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03bf\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 \u03c4\u03bf\u03c5 \u03b5\u03c5\u03c1\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2<\/p>\n<p class=\"td-chart-subtitle\">\u0391\u03c1\u03b9\u03b8\u03bc\u03bf\u03af \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 benchmark \u03c3\u03b5 open-weight instruction-tuned \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1\u00b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2 \u03ae \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae\u03c2 \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2.<\/p>\n<\/div>\n<div class=\"td-chart-body\">\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">25 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1<\/span><span class=\"td-metric-label\">\u03b1\u03c0\u03cc \u03b5\u03c0\u03c4\u03ac \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 \u03ba\u03b1\u03b9 4B \u03ad\u03c9\u03c2 744B \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03bf\u03c5\u03c2<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">0,538<\/span><span class=\"td-metric-label\">\u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf S, \u03c3\u03c4\u03bf Llama 3.1 8B Instruct<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">0,059<\/span><span class=\"td-metric-label\">\u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf S, \u03c3\u03c4\u03bf GPT-OSS 120B<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">6 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2<\/span><span class=\"td-metric-label\">\u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b3\u03b5\u03c9\u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ac \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af\u03c4\u03b1\u03b9 \u03b5\u03c5\u03c1\u03cd\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u03a4\u03bf Llama 3.1 8B Instruct \u03b2\u03c1\u03ad\u03b8\u03b7\u03ba\u03b5 \u03c0\u03c1\u03ce\u03c4\u03bf \u03bc\u03b5 S=0,538 \u03ba\u03b1\u03b9 95% \u03b4\u03b9\u03ac\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03bf\u03c3\u03cd\u03bd\u03b7\u03c2 0,496\u20130,584. \u03a3\u03c4\u03bf \u03ac\u03bb\u03bb\u03bf \u03ac\u03ba\u03c1\u03bf, \u03c4\u03bf GPT-OSS 20B \u03b5\u03af\u03c7\u03b5 0,072 \u03ba\u03b1\u03b9 \u03c4\u03bf GPT-OSS 120B 0,059. \u03a4\u03bf GLM 5.2 744B, \u03c4\u03bf \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf checkpoint \u03c4\u03bf\u03c5 \u03c0\u03af\u03bd\u03b1\u03ba\u03b1, \u03b5\u03af\u03c7\u03b5 point estimate 0,271.<\/p>\n<p>\u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf Llama 3.1 8B \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ac \u03c0\u03b9\u03bf \u03b9\u03ba\u03b1\u03bd\u03cc \u03ae \u03c0\u03b9\u03bf \u03b5\u03c0\u03b9\u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf. \u0395\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 activation controllability \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c6\u03b8\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc \u03c4\u03bf parameter count \u03ae \u03b1\u03c0\u03cc \u03bc\u03b9\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae capability \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7. \u0391\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2, \u03bd\u03b5\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03b5\u03ba\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c5\u03c7\u03bd\u03ac \u03b5\u03af\u03c7\u03b1\u03bd \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf score.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03ad\u03c7\u03b5\u03b9 \u03ac\u03bc\u03b5\u03c3\u03b7 \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1 \u03b3\u03b9\u03b1 procurement \u03ba\u03b1\u03b9 model upgrades. \u0394\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03bd\u03b1 \u03ba\u03bb\u03b7\u03c1\u03bf\u03bd\u03bf\u03bc\u03b7\u03b8\u03b5\u03af \u03c4\u03bf safety profile \u03b5\u03bd\u03cc\u03c2 \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf\u03c5 checkpoint. \u03a4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, \u03c4\u03bf fine-tune, \u03c4\u03bf prompt wrapper \u03ba\u03b1\u03b9 \u03c4\u03bf serving configuration \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b4\u03b9\u03ba\u03cc \u03c4\u03bf\u03c5\u03c2 baseline, \u03cc\u03c0\u03c9\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03bc\u03b5 <a href=\"https:\/\/twodots.gr\/owmi-ai-endoskopisi-epopteia-montelon\/\">\u03b1\u03bd \u03ad\u03bd\u03b1 AI \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c8\u03b5\u03b9 \u03c4\u03b9 \u03c3\u03c5\u03bc\u03b2\u03b1\u03af\u03bd\u03b5\u03b9 \u03bc\u03ad\u03c3\u03b1 \u03c4\u03bf\u03c5<\/a>.<\/p>\n<h2 id=\"entasi-vathos\">\u0388\u03bd\u03c4\u03b1\u03c3\u03b7, tokens \u03ba\u03b1\u03b9 \u03b2\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03b1 layers<\/h2>\n<p>\u039a\u03ac\u03b8\u03b5 open-weight \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c4\u03bf\u03c5 \u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03bf\u03c2 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03b5\u03bd\u03b9\u03c3\u03c7\u03cd\u03c3\u03b5\u03b9 \u03ad\u03bd\u03b1 concept \u03ae \u03bd\u03b1 \u03c4\u03bf \u03c6\u03ad\u03c1\u03b5\u03b9 \u03c0\u03c1\u03bf\u03c2 \u03c4\u03bf baseline \u03bc\u03b5 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03bf\u03b4\u03b7\u03b3\u03af\u03b1. \u03a3\u03c7\u03b5\u03b4\u03cc\u03bd \u03cc\u03bb\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b1\u03bd \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03bd\u03b1 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03bf\u03c5\u03bd \u03b2\u03b1\u03b8\u03bc\u03b9\u03b1\u03af\u03b1 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 \u03ad\u03bd\u03c4\u03b1\u03c3\u03b7\u03c2. \u0397 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03c4\u03cd\u03c0\u03c9\u03c3\u03b7 \u00abintensity 1, 2, 3 \u03ae 4 out of 4\u00bb \u03ae\u03c4\u03b1\u03bd \u03c0\u03b9\u03bf \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03b1\u03c0\u03cc \u03c4\u03bf \u03b1\u03c0\u03bb\u03cc \u03bb\u03b5\u03ba\u03c4\u03b9\u03ba\u03cc \u00abthink intensely\u00bb.<\/p>\n<p>\u0397 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03b3\u03b9\u03b1 \u03c4\u03bf threat model. \u0388\u03bd\u03b1\u03c2 graded dial \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03ac \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03b5\u03b9 \u03ad\u03bd\u03b1 signal \u03ba\u03bf\u03bd\u03c4\u03ac \u03ae \u03ba\u03ac\u03c4\u03c9 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 detection threshold. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03cc\u03bc\u03c9\u03c2 \u03b4\u03b5\u03bd \u03c0\u03b1\u03c1\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b5 \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bd\u03b1 \u03b5\u03c0\u03b9\u03bd\u03bf\u03b5\u03af \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03c3\u03c4\u03c1\u03b1\u03c4\u03b7\u03b3\u03b9\u03ba\u03ae. \u039f\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03c4\u03bf\u03c5 \u03ad\u03b4\u03c9\u03c3\u03b1\u03bd \u03c1\u03b7\u03c4\u03ae \u03bf\u03b4\u03b7\u03b3\u03af\u03b1 \u03ba\u03b1\u03b9 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b1\u03bd \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03b1\u03c0\u03bb\u03ad\u03c2, \u03b1\u03c3\u03c6\u03b1\u03bb\u03b5\u03af\u03c2 \u03ad\u03bd\u03bd\u03bf\u03b9\u03b5\u03c2.<\/p>\n<p>\u03a4\u03bf Engage \u03ba\u03b1\u03b9 \u03c4\u03bf numeric dial \u03ad\u03b3\u03b9\u03bd\u03b1\u03bd \u03b5\u03bd\u03c4\u03bf\u03bd\u03cc\u03c4\u03b5\u03c1\u03b1 \u03c3\u03c4\u03bf \u03b2\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03b9\u03c3\u03cc \u03c4\u03bf\u03c5 \u03b4\u03b9\u03ba\u03c4\u03cd\u03bf\u03c5. \u03a3\u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b1\u03bd\u03ac \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03bb\u03cc\u03b3\u03bf\u03c5, \u03c4\u03bf engagement \u03ae\u03c4\u03b1\u03bd \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03c3\u03b5 punctuation \u03ba\u03b1\u03b9 determiners. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03bf\u03c5\u03bd \u03c9\u03c2 \u03c0\u03b9\u03b8\u03b1\u03bd\u03ae \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03c4\u03bf representational slack: \u03ad\u03bd\u03b1 content token \u03ad\u03c7\u03b5\u03b9 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03ad\u03c2 \u03b1\u03c0\u03b1\u03b9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03b1\u03ba\u03c1\u03b9\u03b2\u03ae \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae, \u03b5\u03bd\u03ce \u03ad\u03bd\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03c3\u03c4\u03af\u03be\u03b7\u03c2 \u03af\u03c3\u03c9\u03c2 \u03b1\u03c6\u03ae\u03bd\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03c7\u03ce\u03c1\u03bf \u03b3\u03b9\u03b1 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b7 modulation.<\/p>\n<p>\u0397 \u03b5\u03be\u03ae\u03b3\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03c7\u03b8\u03b5\u03af \u03b1\u03b9\u03c4\u03b9\u03c9\u03b4\u03ce\u03c2. \u0395\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd, \u03c4\u03bf signal \u03b4\u03b5\u03bd \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03b1 \u03b5\u03cd\u03ba\u03bf\u03bb\u03b1 token types. \u03a4\u03b1 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b5\u03af\u03c7\u03b1\u03bd \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc Coverage \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf \u03b1\u03c3\u03b8\u03b5\u03bd\u03ad\u03c3\u03c4\u03b5\u03c1\u03bf token category. \u0386\u03c1\u03b1 \u03bf \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b4\u03b9\u03ac\u03c7\u03c5\u03c4\u03bf\u03c2, \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03ad\u03bd\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cc artefact \u03c3\u03b5 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03c3\u03c4\u03af\u03be\u03b7\u03c2.<\/p>\n<h2 id=\"chronismos-layer-targeting\">\u039f \u03c7\u03c1\u03bf\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c7\u03bf\u03bd\u03b4\u03c1\u03b9\u03ba\u03ac, \u03c4\u03bf layer targeting \u03cc\u03c7\u03b9<\/h2>\n<p>\u03a4\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03ba\u03bb\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03bd\u03b1 \u03c4\u03bf\u03c0\u03bf\u03b8\u03b5\u03c4\u03ae\u03c3\u03bf\u03c5\u03bd \u03c4\u03bf concept \u03c3\u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03ae, \u03bc\u03af\u03b1 \u03c6\u03bf\u03c1\u03ac \u03c3\u03c4\u03b7 \u03bc\u03ad\u03c3\u03b7 \u03ae \u03c3\u03c4\u03bf \u03c4\u03ad\u03bb\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7\u03c2. \u0397 \u03c3\u03c4\u03cc\u03c7\u03b5\u03c5\u03c3\u03b7 \u03c3\u03c4\u03bf \u03c4\u03ad\u03bb\u03bf\u03c2 \u03ae\u03c4\u03b1\u03bd \u03b7 \u03c0\u03b9\u03bf \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae: \u03b7 projection \u03b1\u03bd\u03ad\u03b2\u03b1\u03b9\u03bd\u03b5 \u03b1\u03c0\u03cc\u03c4\u03bf\u03bc\u03b1 \u03c0\u03c1\u03bf\u03c2 \u03c4\u03b1 \u03c4\u03b5\u03bb\u03b5\u03c5\u03c4\u03b1\u03af\u03b1 tokens. \u0397 \u03b1\u03c1\u03c7\u03ae \u03ba\u03b1\u03b9 \u03b7 \u03bc\u03ad\u03c3\u03b7 \u03b5\u03af\u03c7\u03b1\u03bd \u03b1\u03c3\u03b8\u03b5\u03bd\u03ad\u03c3\u03c4\u03b5\u03c1\u03bf \u03b1\u03bb\u03bb\u03ac \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c3\u03b5 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03b7 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03bf\u03b4\u03b7\u03b3\u03af\u03b1 \u00abthink about\u00bb.<\/p>\n<p>\u0397 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03c0\u03b1\u03c1\u03ad\u03bc\u03b5\u03bd\u03b5 \u03b1\u03b4\u03c1\u03ae. \u03a4\u03bf signal \u03b1\u03c0\u03bb\u03c9\u03bd\u03cc\u03c4\u03b1\u03bd \u03b3\u03cd\u03c1\u03c9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03b8\u03c5\u03bc\u03b7\u03c4\u03ae \u03c0\u03b5\u03c1\u03b9\u03bf\u03c7\u03ae \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03c3\u03b5 \u03c3\u03b1\u03bd \u03c8\u03b7\u03c6\u03b9\u03b1\u03ba\u03cc\u03c2 \u03b4\u03b9\u03b1\u03ba\u03cc\u03c0\u03c4\u03b7\u03c2. \u0391\u03c5\u03c4\u03cc \u03ad\u03c7\u03b5\u03b9 \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1 \u03b3\u03b9\u03b1 monitor design, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03ad\u03bd\u03b1 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c0\u03bf\u03c5 \u03b4\u03b9\u03b1\u03b2\u03ac\u03b6\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03ad\u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf token window \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03ac\u03c3\u03b5\u03b9 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03ae \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03cd\u03c3\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03b4\u03b9\u03ac\u03c7\u03c5\u03c4\u03bf pattern.<\/p>\n<p>\u03a3\u03c4\u03bf Layer Targeting, \u03b1\u03bd\u03c4\u03af\u03b8\u03b5\u03c4\u03b1, \u03ba\u03b1\u03bd\u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b4\u03b5\u03bd \u03ba\u03b1\u03c4\u03ac\u03c6\u03b5\u03c1\u03b5 \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03c3\u03b5\u03b9 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c4\u03b7 modulation \u03c3\u03c4\u03bf layer \u03c0\u03bf\u03c5 \u03c4\u03bf\u03c5 \u03b6\u03b7\u03c4\u03ae\u03b8\u03b7\u03ba\u03b5. \u0397 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03ae\u03c4\u03b1\u03bd \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ac \u03bc\u03b7\u03b4\u03b5\u03bd\u03b9\u03ba\u03ae \u03c3\u03b5 \u03cc\u03bb\u03bf \u03c4\u03bf \u03b4\u03b5\u03af\u03b3\u03bc\u03b1. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03c5\u03bd \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf \u03cc\u03c1\u03b9\u03bf \u03bc\u03b5 \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1\u03c2 \u03c3\u03b5 \u03ad\u03bd\u03b1 transformer: \u03c4\u03b1 \u03b2\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03b1 layers \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b3\u03c1\u03ac\u03c8\u03bf\u03c5\u03bd \u03c0\u03c1\u03bf\u03c2 \u03c4\u03b1 upstream layers.<\/p>\n<aside class=\"td-article-note\"><strong>\u0397 \u03b1\u03b4\u03c5\u03bd\u03b1\u03bc\u03af\u03b1 \u03c3\u03c4\u03cc\u03c7\u03b5\u03c5\u03c3\u03b7\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03b7\u03bc\u03b5\u03c1\u03b9\u03bd\u03ae \u03b5\u03c5\u03ba\u03b1\u03b9\u03c1\u03af\u03b1 \u03ac\u03bc\u03c5\u03bd\u03b1\u03c2, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03b9\u03bc\u03b7 \u03b5\u03b3\u03b3\u03cd\u03b7\u03c3\u03b7:<\/strong> probes \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b4\u03b9\u03b1\u03b2\u03ac\u03b6\u03bf\u03c5\u03bd \u03c3\u03b5 \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ac \u03b2\u03ac\u03b8\u03b7 \u03ba\u03b1\u03b9 token categories, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03af\u03b4\u03b9\u03b1 \u03b7 controllability \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bc\u03b5\u03c4\u03c1\u03ac\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03bd\u03ad\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ac.<\/aside>\n<p>\u0391\u03c5\u03c4\u03ae \u03b7 coarseness \u03b5\u03af\u03bd\u03b1\u03b9 \u03af\u03c3\u03c9\u03c2 \u03c4\u03bf \u03c0\u03b9\u03bf \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b9\u03bc\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03bf\u03c5\u03c2 defenders. \u03a4\u03bf control \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf \u03b2\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03b9\u03c3\u03cc, \u03b1\u03bb\u03bb\u03ac \u03b1\u03c0\u03bb\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 tokens \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03c3\u03c4\u03bf\u03c7\u03b5\u03cd\u03b5\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03ad\u03bd\u03b1 layer. \u0388\u03bd\u03b1\u03c2 monitor \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03c4\u03bb\u03b5\u03af evidence \u03b1\u03c0\u03cc \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ac \u03b2\u03ac\u03b8\u03b7, \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ac \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03ba\u03b1\u03b9 \u03ba\u03b1\u03bd\u03ac\u03bb\u03b9\u03b1 \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03bc\u03cc\u03bd\u03bf readout.<\/p>\n<h2 id=\"task-load\">\u03a4\u03b9 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf task \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf<\/h2>\n<p>\u0393\u03b9\u03b1 \u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03b8\u03b5\u03af \u03b1\u03bd \u03b7 \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03c0\u03b9\u03b2\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae, \u03bf\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b1\u03bd \u03c4\u03bf Gemma 3 27B Instruct \u03c3\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b3\u03bf\u03bd\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03b3\u03ce\u03b3\u03c9\u03bd \u03c0\u03bf\u03bb\u03c5\u03c9\u03bd\u03cd\u03bc\u03c9\u03bd. \u0397 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03af\u03b1 \u03b5\u03af\u03c7\u03b5 \u03c0\u03ad\u03bd\u03c4\u03b5 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1, 30 concepts \u03ba\u03b1\u03b9 800 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ae\u03bc\u03b1\u03c4\u03b1. \u0397 accuracy \u03c4\u03b7\u03c2 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae\u03c2 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7\u03c2 \u03ad\u03c0\u03b5\u03c3\u03b5 \u03b1\u03c0\u03cc 96% \u03c3\u03c4\u03bf \u03b5\u03c5\u03ba\u03bf\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf recipe \u03c3\u03b5 11% \u03c3\u03c4\u03bf \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf.<\/p>\n<p>\u0397 activation control \u03b4\u03b5\u03bd \u03b5\u03be\u03b1\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7. \u03a4\u03bf selectivity-corrected concept gap \u03c0\u03b1\u03c1\u03ad\u03bc\u03b5\u03b9\u03bd\u03b5 \u03b8\u03b5\u03c4\u03b9\u03ba\u03cc \u03ba\u03b1\u03b9 \u03bc\u03b5\u03b9\u03ce\u03b8\u03b7\u03ba\u03b5 \u03bc\u03cc\u03bd\u03bf \u03b5\u03bb\u03b1\u03c6\u03c1\u03ac \u03cc\u03c3\u03bf \u03bc\u03b5\u03b3\u03ac\u03bb\u03c9\u03bd\u03b5 \u03b7 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03af\u03b1. \u03a3\u03c4\u03bf \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf recipe, \u03c4\u03bf \u03b4\u03b9\u03ac\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf \u03bc\u03b7\u03b4\u03ad\u03bd. \u03a3\u03b5 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf concept, 13 \u03b1\u03c0\u03cc \u03c4\u03b1 30 slopes \u03ae\u03c4\u03b1\u03bd \u03c3\u03b1\u03c6\u03ce\u03c2 \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ac, \u03b5\u03bd\u03ce \u03c4\u03bf uninstructed background \u03b1\u03c5\u03be\u03b1\u03bd\u03cc\u03c4\u03b1\u03bd \u03bc\u03b5 \u03c4\u03bf load.<\/p>\n<p>\u0386\u03c1\u03b1 \u03c4\u03bf \u03c0\u03b9\u03bf \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c2 \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 selectivity \u03c6\u03b8\u03b5\u03af\u03c1\u03b5\u03c4\u03b1\u03b9 \u03c5\u03c0\u03cc \u03c6\u03cc\u03c1\u03c4\u03bf, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 modulation \u03b5\u03ba\u03c4\u03b5\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03c0\u03bf\u03bb\u03cd \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03cc\u03c4\u03b5\u03c1\u03b1 tasks. \u039f\u03b9 \u03bf\u03b4\u03b7\u03b3\u03af\u03b5\u03c2 \u03b3\u03b9\u03b1 concept engagement \u03b4\u03b5\u03bd \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03bd\u03b1 \u03bc\u03b5\u03b9\u03ce\u03bd\u03bf\u03c5\u03bd \u03b5\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd \u03c4\u03b7\u03bd task accuracy \u03c3\u03b5 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03bf no-instruction baseline \u03c3\u03b5 \u03ba\u03b1\u03bd\u03ad\u03bd\u03b1 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03af\u03b1\u03c2.<\/p>\n<p>\u03a4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03b1\u03c6\u03bf\u03c1\u03ac \u03ad\u03bd\u03b1 \u03bc\u03cc\u03bd\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03b1\u03b8\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc task. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03af\u03b4\u03b9\u03b1 \u03c3\u03c7\u03ad\u03c3\u03b7 \u03b8\u03b1 \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03c3\u03b5 agents, \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1, long context, multimodal inputs \u03ae \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03cc\u03c0\u03b5\u03b9\u03c1\u03b5\u03c2 \u03b1\u03c0\u03bf\u03c6\u03c5\u03b3\u03ae\u03c2 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5. \u0394\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03b3\u03b9\u03b1\u03c4\u03af \u03ad\u03bd\u03b1 \u03b5\u03cd\u03ba\u03bf\u03bb\u03bf transcription benchmark \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03bf\u03b4\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc load tests \u03c0\u03bf\u03c5 \u03c0\u03bb\u03b7\u03c3\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03b7 \u03c7\u03c1\u03ae\u03c3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2.<\/p>\n<h2 id=\"monitor-evasion\">\u03a0\u03ce\u03c2 \u03b1\u03c0\u03ad\u03c4\u03c5\u03c7\u03b1\u03bd \u03bc\u03b5\u03c1\u03b9\u03ba\u03ce\u03c2 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 monitor families<\/h2>\n<p>\u03a3\u03c4\u03bf monitor-evasion \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1, \u03bf\u03b9 monitors \u03ad\u03b2\u03bb\u03b5\u03c0\u03b1\u03bd \u03bc\u03cc\u03bd\u03bf residual-stream activations \u03b1\u03c0\u03cc \u03c4\u03bf transcribed span \u03ba\u03b1\u03b9 \u03c0\u03bf\u03c4\u03ad \u03c4\u03b1 instruction tokens. \u03a4\u03b1 supervised linear probes \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03c4\u03b7\u03ba\u03b1\u03bd \u03b1\u03bd\u03ac concept \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf. \u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c3\u03ac\u03c1\u03c9\u03bd\u03b5 \u03c4\u03b1 layers, \u03b5\u03c0\u03ad\u03bb\u03b5\u03b3\u03b5 \u03b5\u03ba\u03b5\u03af\u03bd\u03bf \u03bc\u03b5 \u03c4\u03b7 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 accuracy \u03ba\u03b1\u03b9 \u03cc\u03c1\u03b9\u03b6\u03b5 threshold \u03c3\u03b5 1% false-positive rate \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b1 no-instruction trials.<\/p>\n<p>\u0397 suppression instruction \u03b4\u03b7\u03bc\u03b9\u03bf\u03cd\u03c1\u03b3\u03b7\u03c3\u03b5 \u03ad\u03bd\u03c4\u03bf\u03bd\u03b7 \u03b1\u03c3\u03c5\u03bc\u03bc\u03b5\u03c4\u03c1\u03af\u03b1. \u03a3\u03c4\u03bf detection at 1% FPR, \u03c4\u03b1 linear probes \u03ad\u03c0\u03b9\u03b1\u03bd\u03b1\u03bd \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03cc\u03bb\u03b1 \u03c4\u03b1 engagement trials, \u03b1\u03bb\u03bb\u03ac \u03bc\u03cc\u03bd\u03bf 5%\u201321% \u03c4\u03c9\u03bd suppression trials, \u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03b1 \u03bc\u03b5 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf. \u0394\u03b5\u03bd \u03b5\u03be\u03b1\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03af\u03c7\u03bd\u03bf\u03c2 \u2014\u03bf\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03bd \u03ad\u03bd\u03b1 \u03b1\u03c3\u03b8\u03b5\u03bd\u03ad\u03c2 \u00abwhite-bear\u00bb residue\u2014 \u03cc\u03bc\u03c9\u03c2 \u03b7 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03b1\u03bd\u03ac\u03ba\u03c4\u03b7\u03c3\u03b7 \u03b1\u03c0\u03ad\u03c4\u03c5\u03c7\u03b5.<\/p>\n<p>\u03a4\u03bf \u03af\u03b4\u03b9\u03bf \u03bc\u03bf\u03c4\u03af\u03b2\u03bf \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c3\u03b5 Jacobian lens, activation oracles \u03ba\u03b1\u03b9 natural language autoencoders. \u0393\u03b9\u03b1 \u03c4\u03b1 13 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03bc\u03b5 fitted J-lens, \u03c4\u03bf concept \u03b5\u03bc\u03c6\u03b1\u03bd\u03b9\u03b6\u03cc\u03c4\u03b1\u03bd \u03c3\u03c4\u03b1 top-10 reads \u03c3\u03b5 76%\u201399% \u03c4\u03c9\u03bd engagement trials \u03b3\u03b9\u03b1 \u03b5\u03bd\u03bd\u03ad\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1, \u03b1\u03bb\u03bb\u03ac \u03c3\u03b5 \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03cc 10% \u03c4\u03c9\u03bd suppression trials \u03c3\u03c4\u03b1 11 \u03b1\u03c0\u03cc \u03c4\u03b1 13. \u03a3\u03c4\u03bf Gemma 3 27B, \u03bf NLA verbalizer \u03b1\u03bd\u03ad\u03c6\u03b5\u03c1\u03b5 \u03c4\u03bf concept \u03c3\u03c4\u03bf 32% \u03c4\u03bf\u03c5 engagement condition \u03ba\u03b1\u03b9 \u03c3\u03b5 0 \u03b1\u03c0\u03cc 500 suppression trials.<\/p>\n<p>\u0394\u03b5\u03bd \u03c0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03b5\u03c0\u03af\u03b8\u03b5\u03c3\u03b7 \u03c3\u03b5 production-grade \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1. \u039f\u03b9 monitors \u03ae\u03c4\u03b1\u03bd off-the-shelf, \u03b4\u03b5\u03bd \u03b5\u03af\u03c7\u03b1\u03bd adversarial training \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03bc\u03b5 on-policy data. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03cc\u03c4\u03b9 \u03c4\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac deployments \u03c3\u03c5\u03c7\u03bd\u03ac \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bd \u03c0\u03bf\u03bb\u03cd \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf false-positive budget \u03b1\u03c0\u03cc 1%, \u03ba\u03ac\u03c4\u03b9 \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c0\u03bf\u03c6\u03c5\u03b3\u03ae \u03b5\u03c5\u03ba\u03bf\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7 \u03b1\u03c5\u03c4\u03ae\u03c2 \u03c4\u03b7\u03c2 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac\u03c2 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03bd\u03c9\u03c3\u03c4\u03ae.<\/p>\n<p>\u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03b5\u03af \u03bc\u03b5 \u03c4\u03bf \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03cc\u03c4\u03b9 \u03c4\u03b1 <a href=\"https:\/\/twodots.gr\/intent-horizon-ai-guardrails-liv\/\">AI guardrails \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03bf\u03b9\u03c4\u03bf\u03cd\u03bd \u03b2\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03b1<\/a>, \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03c4\u03bf \u00ab\u03b2\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03b1\u00bb \u03c3\u03b5 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03cc \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03bf\u03c3\u03cd\u03bd\u03b7\u03c2. \u038c\u03c3\u03bf \u03c0\u03b9\u03bf \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03c3\u03c4\u03b9\u03ba\u03cc\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf\u03c2 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2, \u03c4\u03cc\u03c3\u03bf \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03bf monitor \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 adaptive red teaming \u03ba\u03b1\u03b9 distribution-shift evaluation.<\/p>\n<h2 id=\"ti-den-apodeiknyei\">\u03a4\u03b9 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7<\/h2>\n<p>\u03a0\u03c1\u03ce\u03c4\u03bf\u03bd, \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7 \u03ae \u03b1\u03c5\u03c4\u03cc\u03bd\u03bf\u03bc\u03b7 deception. \u03a4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03b6\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03bd\u03b1 \u03ba\u03c1\u03cd\u03c8\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03c3\u03c7\u03ad\u03b4\u03b9\u03bf. \u0391\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03c1\u03b7\u03c4\u03ae instruction \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 concept \u03cc\u03c0\u03c9\u03c2 \u03c4\u03bf \u03c8\u03c9\u03bc\u03af. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ac elicited capability, \u03cc\u03c7\u03b9 \u03b1\u03c5\u03b8\u03cc\u03c1\u03bc\u03b7\u03c4\u03bf \u03ba\u03af\u03bd\u03b7\u03c4\u03c1\u03bf.<\/p>\n<p>\u0394\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf\u03bd, \u03b7 concept projection \u03b5\u03af\u03bd\u03b1\u03b9 proxy. \u0395\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03c4\u03c1\u03cc\u03c0\u03bf \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03af\u03b1\u03c2 \u03c4\u03c9\u03bd concept vectors, \u03b1\u03c0\u03cc \u03c4\u03bf layer, \u03b1\u03c0\u03cc \u03c4\u03b7 \u03c7\u03c1\u03ae\u03c3\u03b7 raw projection \u03ba\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03b1\u03c0\u03bb\u03ad\u03c2 \u03ad\u03bd\u03bd\u03bf\u03b9\u03b5\u03c2 \u03c4\u03bf\u03c5 benchmark. \u0388\u03bd\u03bd\u03bf\u03b9\u03b5\u03c2 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2 \u03cc\u03c0\u03c9\u03c2 deception \u03ae evaluation awareness \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03ba\u03b1\u03c4\u03b1\u03bd\u03b5\u03bc\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03b8\u03bf\u03cd\u03bd \u03ae \u03bd\u03b1 \u03b4\u03b9\u03b1\u03b2\u03b1\u03c3\u03c4\u03bf\u03cd\u03bd.<\/p>\n<p>\u03a4\u03c1\u03af\u03c4\u03bf\u03bd, \u03b7 \u03c5\u03c8\u03b7\u03bb\u03ae \u03ae \u03c7\u03b1\u03bc\u03b7\u03bb\u03ae \u03c4\u03b9\u03bc\u03ae S \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2. \u0397 \u03b3\u03b5\u03c9\u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ae \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03b1\u03bd\u03c4\u03b1\u03bc\u03b5\u03af\u03b2\u03b5\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03bc\u03bf\u03c1\u03c6\u03ad\u03c2 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5 \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf protocol. \u03a4\u03bf Llama 3.1 8B \u03b4\u03b5\u03bd \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u00ab\u03c0\u03b9\u03bf \u03b5\u03c0\u03b9\u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf\u00bb \u03b1\u03c0\u03cc \u03c4\u03bf GPT-OSS 120B \u03bc\u03cc\u03bd\u03bf \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b5\u03af\u03c7\u03b5 \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf S.<\/p>\n<p>\u03a4\u03ad\u03c4\u03b1\u03c1\u03c4\u03bf\u03bd, \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b1\u03c4\u03b1 elicitation floors. \u039f\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03b4\u03b5\u03bd \u03ad\u03ba\u03b1\u03bd\u03b1\u03bd fine-tuning \u03b3\u03b9\u03b1 evasion \u03bf\u03cd\u03c4\u03b5 \u03b5\u03ba\u03c4\u03b5\u03bd\u03ae prompt search. \u0388\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf \u03b1\u03c0\u03b5\u03c5\u03b8\u03b5\u03af\u03b1\u03c2 \u03b5\u03bd\u03b1\u03bd\u03c4\u03af\u03bf\u03bd \u03b5\u03bd\u03cc\u03c2 monitor \u03ae \u03c4\u03bf\u03c5 benchmark \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03c3\u03b5\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03ae \u03b1\u03c0\u03bb\u03ce\u03c2 \u03bd\u03b1 \u03ba\u03c1\u03cd\u03c8\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7.<\/p>\n<p>\u0397 \u03ce\u03c1\u03b9\u03bc\u03b7 \u03c7\u03c1\u03ae\u03c3\u03b7 \u03c4\u03ad\u03c4\u03bf\u03b9\u03c9\u03bd \u03b5\u03c5\u03c1\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03c3\u03b1\u03c6\u03ae \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7 \u03bf\u03c1\u03af\u03c9\u03bd. \u03a4\u03b1 <a href=\"https:\/\/twodots.gr\/model-cards-open-weight-ai-governance\/\">model cards \u03ba\u03b1\u03b9 \u03b7 AI governance<\/a> \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03bd \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf aggregate scores, \u03b1\u03bb\u03bb\u03ac \u03ba\u03b1\u03b9 protocol, thresholds, known gaps, raw-data availability \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2 \u03c3\u03c4\u03b9\u03c2 \u03bf\u03c0\u03bf\u03af\u03b5\u03c2 \u03bf monitor \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03b5\u03b9.<\/p>\n<h2 id=\"epicheirimatiki-diakyvernisi\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1 AI \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03b1 \u03ba\u03b1\u03b9 governance<\/h2>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b1\u03b3\u03bf\u03c1\u03ac\u03b6\u03b5\u03b9 \u03ae \u03b1\u03bd\u03b1\u03c0\u03c4\u03cd\u03c3\u03c3\u03b5\u03b9 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1, \u03c4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03bc\u03b7 \u03c3\u03c5\u03b3\u03c7\u03ad\u03b5\u03b9 observability \u03bc\u03b5 \u03b5\u03b3\u03b3\u03c5\u03b7\u03bc\u03ad\u03bd\u03b7 \u03b1\u03bb\u03ae\u03b8\u03b5\u03b9\u03b1. \u0388\u03bd\u03b1 dashboard \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ce\u03bd \u03c3\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7, \u03b1\u03bb\u03bb\u03ac \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 threat model \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 prompt sensitivity, adaptive behavior \u03ba\u03b1\u03b9 distribution shifts. \u0391\u03c5\u03c4\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03c0\u03c1\u03bf\u03ad\u03ba\u03c4\u03b1\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03ae\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae\u03c2.<\/p>\n<p>\u03a4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03ac\u03bc\u03c5\u03bd\u03b1 \u03c3\u03b5 \u03b2\u03ac\u03b8\u03bf\u03c2. Behavioral evaluations, activation monitoring, tool permissions, rate limits, input\/output policies, sandboxing \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b1 approval gates \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac failure modes. \u0397 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1 \u03b5\u03bd\u03cc\u03c2 probe \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03bc\u03ac\u03c4\u03c9\u03c2 \u03c3\u03b5 \u03b1\u03bd\u03b5\u03be\u03ad\u03bb\u03b5\u03b3\u03ba\u03c4\u03b7 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1.<\/p>\n<p>\u03a4\u03bf \u03c4\u03c1\u03af\u03c4\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b7\u03c0\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7. \u0395\u03c6\u03cc\u03c3\u03bf\u03bd \u03c4\u03bf S \u03b4\u03b5\u03bd \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03c4\u03bf \u03bc\u03ad\u03b3\u03b5\u03b8\u03bf\u03c2 \u03ae \u03bc\u03b9\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae capability index, \u03ba\u03ac\u03b8\u03b5 \u03bd\u03ad\u03bf checkpoint, fine-tune, quantization, system prompt \u03ae serving stack \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03ad\u03bf baseline. \u039f\u03b9 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 versioned \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03ad\u03c7\u03bf\u03c5\u03bd \u03c3\u03b1\u03c6\u03ae rollback criteria.<\/p>\n<p>\u03a4\u03bf \u03c4\u03ad\u03c4\u03b1\u03c1\u03c4\u03bf \u03b1\u03c6\u03bf\u03c1\u03ac \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03c0\u03c1\u03bf\u03bc\u03ae\u03b8\u03b5\u03b9\u03b1. Marketing, e-commerce \u03ba\u03b1\u03b9 customer-support teams \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd \u03ad\u03c4\u03bf\u03b9\u03bc\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b4\u03b5\u03bd \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03c5\u03c0\u03bf\u03b8\u03ad\u03c3\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 chatbot \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af latent deception. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03bd\u03b1 \u03b6\u03b7\u03c4\u03bf\u03cd\u03bd evidence \u03b3\u03b9\u03b1 evaluations, false positives, failure modes, escalation paths \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c4\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03ba\u03ac\u03b8\u03b5 safety layer.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-kicker\">Go\/no-go \u03b3\u03b9\u03b1 activation monitoring<\/p>\n<p class=\"td-decision-title\">\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf \u03c9\u03c2 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf sensor, \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03cc gate<\/p>\n<p>Go \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 baseline \u03c3\u03c4\u03bf \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c2 checkpoint, thresholds \u03b4\u03b5\u03bc\u03ad\u03bd\u03b1 \u03bc\u03b5 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2, adversarial \u03ba\u03b1\u03b9 distribution-shift tests, \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ac readouts, independent behavioral checks \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 fallback. No-go \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1 probe \u03c3\u03b5 \u03ad\u03bd\u03b1 layer, \u03b1\u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c4\u03bf false-positive budget \u03ae \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b7 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c3\u03b5 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03c4\u03bf latent signal \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u00ab\u03ba\u03b1\u03b8\u03b1\u03c1\u03cc\u00bb.<\/p>\n<\/div>\n<p>\u0397 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ae \u03b1\u03c1\u03c7\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03af\u03b4\u03b9\u03b1 \u03c0\u03bf\u03c5 \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf <a href=\"https:\/\/twodots.gr\/ai-agents-behavioral-testing\/\">behavioral testing \u03c4\u03c9\u03bd AI agents<\/a>: \u03b7 \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03af\u03b1 \u03c3\u03b5 \u03ad\u03bd\u03b1 benchmark \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03b1\u03bd \u03b4\u03b5\u03bd \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bc\u03b5 \u03c0\u03ce\u03c2 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c5\u03c0\u03cc \u03c0\u03af\u03b5\u03c3\u03b7, \u03c3\u03b5 \u03bd\u03ad\u03b1 \u03b4\u03b9\u03b1\u03bd\u03bf\u03bc\u03ae \u03ba\u03b1\u03b9 \u03b1\u03c0\u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c3\u03b5 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03c3\u03c4\u03b9\u03ba\u03ae \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac.<\/p>\n<h2 id=\"praktiko-plaisio\">\u03a0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae<\/h2>\n<p>\u0388\u03bd\u03b1 activation monitor \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03c4\u03b5\u03af \u03c9\u03c2 \u03bc\u03b5\u03c4\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bc\u03b5 \u03b3\u03bd\u03c9\u03c3\u03c4\u03ac failure modes. \u039e\u03b5\u03ba\u03b9\u03bd\u03ae\u03c3\u03c4\u03b5 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03b2\u03bb\u03ac\u03b2\u03b7 \u03c0\u03bf\u03c5 \u03b8\u03ad\u03bb\u03b5\u03c4\u03b5 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03bb\u03ac\u03b2\u03b5\u03c4\u03b5 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03b9\u03bf \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03cc latent feature. \u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1 \u03b8\u03b1 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03bc\u03b9\u03b1 \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7, \u03c0\u03bf\u03b9\u03bf\u03c2 \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03c4\u03bf false positive \u03ba\u03b1\u03b9 \u03c4\u03b9 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03c4\u03b1 sensors \u03b4\u03b9\u03b1\u03c6\u03c9\u03bd\u03bf\u03cd\u03bd.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf activation monitoring<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03bf threat model \u03ba\u03b1\u03b9 \u03c4\u03bf protected action<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03ba\u03b1\u03c4\u03ac\u03c7\u03c1\u03b7\u03c3\u03b7, \u03b1\u03c0\u03cc\u03ba\u03c1\u03c5\u03c8\u03b7 \u03ae policy violation \u03b1\u03bd\u03b1\u03b6\u03b7\u03c4\u03ac\u03c4\u03b5 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03ae \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03c0\u03bb\u03bf\u03ba\u03ac\u03c1\u03bf\u03bd\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03b7 \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03b2\u03ad\u03b2\u03b1\u03b9\u03b7.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 2<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c2 deployed checkpoint<\/strong>\n<p>\u03a4\u03c1\u03ad\u03be\u03c4\u03b5 activation-control baseline \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf model version, quantization, system prompt, tokenizer \u03ba\u03b1\u03b9 serving path \u03c0\u03bf\u03c5 \u03b8\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03b5\u03af \u03c3\u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 3<\/span><strong>\u0394\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03c3\u03c4\u03b5 engagement, suppression \u03ba\u03b1\u03b9 control<\/strong>\n<p>\u039c\u03b7\u03bd \u03c3\u03c5\u03bd\u03bf\u03c8\u03af\u03b6\u03b5\u03c4\u03b5 \u03cc\u03bb\u03b7 \u03c4\u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c3\u03b5 \u03ad\u03bd\u03b1 score. \u0395\u03bb\u03ad\u03b3\u03be\u03c4\u03b5 direction, dial, temporal spread, token coverage \u03ba\u03b1\u03b9 layer selectivity \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ac.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 4<\/span><strong>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ac layers \u03ba\u03b1\u03b9 readouts<\/strong>\n<p>\u03a3\u03c5\u03bd\u03b4\u03c5\u03ac\u03c3\u03c4\u03b5 activations \u03b1\u03c0\u03cc \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03b2\u03ac\u03b8\u03b7 \u03ba\u03b1\u03b9 token windows, \u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bd\u03b1 \u03bc\u03b7 \u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf \u03c0\u03b9\u03bf \u03b5\u03cd\u03ba\u03bf\u03bb\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u03ba\u03b1\u03bd\u03ac\u03bb\u03b9.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 5<\/span><strong>\u039a\u03ac\u03bd\u03c4\u03b5 adaptive \u03ba\u03b1\u03b9 distribution-shift red teaming<\/strong>\n<p>\u0391\u03bb\u03bb\u03ac\u03be\u03c4\u03b5 task load, context length, prompt framing \u03ba\u03b1\u03b9 domain\u00b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03c3\u03c4\u03b5 \u03c1\u03b7\u03c4\u03ad\u03c2 suppression instructions \u03ba\u03b1\u03b9 \u03b2\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03b5\u03bd\u03b1\u03bd\u03c4\u03af\u03bf\u03bd \u03c4\u03bf\u03c5 monitor.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 6<\/span><strong>\u0394\u03ad\u03c3\u03c4\u03b5 thresholds \u03bc\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 recall, false-positive budget \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03bf workload. \u0388\u03bd\u03b1 threshold \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03af\u03bf\u03c5 \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b1 \u03c3\u03b5 customer support \u03ae tool-using agent.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 7<\/span><strong>\u039a\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 layered fallback \u03ba\u03b1\u03b9 rollback<\/strong>\n<p>Behavioral checks, \u03b5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03b1 \u03b4\u03b9\u03ba\u03b1\u03b9\u03ce\u03bc\u03b1\u03c4\u03b1, approvals, logs \u03ba\u03b1\u03b9 versioned rollback \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03b5\u03bd\u03b5\u03c1\u03b3\u03ac \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf latent monitor \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03b2\u03ad\u03b2\u03b1\u03b9\u03bf \u03ae \u03b5\u03ba\u03c4\u03cc\u03c2 \u03b4\u03b9\u03b1\u03bd\u03bf\u03bc\u03ae\u03c2.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u039f \u03ba\u03cd\u03ba\u03bb\u03bf\u03c2 \u03b4\u03b5\u03bd \u03c4\u03b5\u03bb\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c3\u03c4\u03bf launch. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 drift indicators, sample review, incident analysis \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b1\u03bd\u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7. \u03a4\u03bf NIST AI RMF \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf risk management \u03c9\u03c2 \u03c3\u03c5\u03bd\u03b5\u03c7\u03ae \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1 Govern, Map, Measure \u03ba\u03b1\u03b9 Manage, \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03b5\u03c6\u03ac\u03c0\u03b1\u03be \u03c0\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2, \u03bf \u03c3\u03c4\u03cc\u03c7\u03bf\u03c2 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03ac\u03b3\u03bf\u03c5\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03c1\u03ce\u03c4\u03b7 \u03bc\u03ad\u03c1\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03cc monitor. \u0395\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c6\u03b5\u03cd\u03b3\u03bf\u03c5\u03bd \u03c4\u03bf single point of failure: \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 \u03b4\u03b9\u03ba\u03b1\u03b9\u03ce\u03bc\u03b1\u03c4\u03b1, \u03c3\u03b1\u03c6\u03ae\u03c2 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c0\u03bf\u03c0\u03c4\u03b5\u03af\u03b1, behavioral evaluation \u03ba\u03b1\u03b9 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03c9\u03bc\u03ad\u03bd\u03bf monitoring \u03ad\u03c7\u03bf\u03c5\u03bd \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03be\u03af\u03b1 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03b1\u03b4\u03b9\u03b1\u03c6\u03b1\u03bd\u03ad\u03c2 \u00abAI safety score\u00bb.<\/p>\n<h2 id=\"symperasma\">\u03a4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1: \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7, \u03cc\u03c7\u03b9 \u03c0\u03b1\u03bd\u03b9\u03ba\u03cc\u03c2<\/h2>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9, \u03c3\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2, \u03c0\u03bf\u03bb\u03bb\u03ac \u03c3\u03b7\u03bc\u03b5\u03c1\u03b9\u03bd\u03ac open-weight LLMs \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03bf\u03c5\u03bd \u03bc\u03b5 instruction \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7, \u03c4\u03b7\u03bd \u03ad\u03bd\u03c4\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 timing \u03c4\u03c9\u03bd activations \u03c4\u03bf\u03c5\u03c2. \u0397 \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03ad\u03bd\u03c4\u03bf\u03bd\u03b1 \u03b1\u03bd\u03ac \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, \u03b4\u03b5\u03bd \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03c4\u03bf parameter count, \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b2\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03b1 \u03c3\u03c4\u03bf \u03b4\u03af\u03ba\u03c4\u03c5\u03bf \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c7\u03bf\u03bd\u03b4\u03c1\u03b9\u03ba\u03ae \u03c9\u03c2 \u03c0\u03c1\u03bf\u03c2 tokens \u03ba\u03b1\u03b9 layers.<\/p>\n<p>\u0397 suppression instruction \u03ae\u03c4\u03b1\u03bd \u03b1\u03c1\u03ba\u03b5\u03c4\u03ae \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c6\u03cd\u03b3\u03b5\u03b9 \u03bc\u03b5\u03c1\u03b9\u03ba\u03ce\u03c2 linear probes, Jacobian lens, activation oracles \u03ba\u03b1\u03b9 natural language autoencoders. \u039f\u03b9 monitors \u03cc\u03bc\u03c9\u03c2 \u03b4\u03b5\u03bd \u03ae\u03c4\u03b1\u03bd hardened, \u03bf\u03b9 \u03ad\u03bd\u03bd\u03bf\u03b9\u03b5\u03c2 \u03ae\u03c4\u03b1\u03bd \u03b1\u03c0\u03bb\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03b5\u03af\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03bf base task \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03bf\u03cd\u03c3\u03b5 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03cc \u03c4\u03bf \u03b5\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c4\u03cc\u03bd\u03bf\u03bc\u03b7 \u03b5\u03be\u03b1\u03c0\u03ac\u03c4\u03b7\u03c3\u03b7 \u03bf\u03cd\u03c4\u03b5 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1 \u03ba\u03ac\u03b8\u03b5 production monitor.<\/p>\n<p>\u0391\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03c4\u03b1\u03b9 \u03ba\u03ac\u03c4\u03b9 \u03c0\u03b9\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03ba\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf: \u03c4\u03b1 activations \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 adversarial surface. \u0397 \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03cd\u03b8\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03cc\u03c0\u03c9\u03c2 \u03ba\u03ac\u03b8\u03b5 \u03ac\u03bb\u03bb\u03bf sensor \u2014\u03bc\u03b5 uncertainty, distribution shifts, stress tests, \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ac \u03ba\u03b1\u03bd\u03ac\u03bb\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae fallback.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7, \u03b7 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03b8\u03b1\u03c1\u03ae. \u039c\u03b7\u03bd \u03b1\u03b3\u03bf\u03c1\u03ac\u03b6\u03b5\u03c4\u03b5 \u00ab\u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03bf\u03c1\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1\u00bb \u03c9\u03c2 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b7 \u03b5\u03b3\u03b3\u03cd\u03b7\u03c3\u03b7. \u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 \u03c4\u03b7 \u03c9\u03c2 \u03ad\u03bd\u03b1 \u03b5\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd \u03c3\u03c4\u03c1\u03ce\u03bc\u03b1 evidence \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b4\u03b9\u03b1\u03ba\u03c5\u03b2\u03ad\u03c1\u03bd\u03b7\u03c3\u03b7\u03c2 \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03b5\u03af\u03bd\u03b5\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 monitor \u03ba\u03ac\u03bd\u03b5\u03b9 \u03bb\u03ac\u03b8\u03bf\u03c2.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">\u0391\u03c0\u03cc \u03c4\u03bf benchmark \u03c3\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae<\/p>\n<p class=\"td-service-cta-title\">\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 AI \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03bc\u03b5 \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ac \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5<\/p>\n<p>\u0397 TWO DOTS \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 model evaluation, \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 \u03b4\u03b9\u03ba\u03b1\u03b9\u03ce\u03bc\u03b1\u03c4\u03b1, behavioral checks, monitoring, \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b1 approvals \u03ba\u03b1\u03b9 rollback \u03ce\u03c3\u03c4\u03b5 \u03ba\u03b1\u03bd\u03ad\u03bd\u03b1 latent signal \u03bd\u03b1 \u03bc\u03b7 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c9\u03c2 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03ae \u03b5\u03b3\u03b3\u03cd\u03b7\u03c3\u03b7 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u03a3\u03c5\u03b6\u03b7\u03c4\u03ae\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1\u03bd \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf AI \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03cc<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">\u0427\u0435\u0441\u0442\u043e \u0437\u0430\u0434\u0430\u0432\u0430\u043d\u0438 \u0432\u044a\u043f\u0440\u043e\u0441\u0438<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf Activation Controllability Benchmark;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 benchmark \u03ad\u03be\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd \u03c0\u03bf\u03c5 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03c0\u03cc\u03c3\u03bf \u03ad\u03bd\u03b1 LLM \u03bc\u03c0\u03bf\u03c1\u03b5\u03af, \u03bc\u03ad\u03c3\u03c9 \u03c6\u03c5\u03c3\u03b9\u03ba\u03bf\u03b3\u03bb\u03c9\u03c3\u03c3\u03b9\u03ba\u03ae\u03c2 \u03bf\u03b4\u03b7\u03b3\u03af\u03b1\u03c2, \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03af\u03b1, \u03c4\u03b7\u03bd \u03ad\u03bd\u03c4\u03b1\u03c3\u03b7, \u03c4\u03b7 \u03c7\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03b8\u03ad\u03c3\u03b7, \u03c4\u03b7\u03bd \u03ba\u03ac\u03bb\u03c5\u03c8\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03c3\u03c4\u03c1\u03c9\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c3\u03c4\u03cc\u03c7\u03b5\u03c5\u03c3\u03b7 \u03b5\u03bd\u03cc\u03c2 concept signal \u03c3\u03c4\u03bf residual stream.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03cc\u03c3\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b5\u03be\u03b5\u03c4\u03ac\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03be\u03b5\u03c4\u03ac\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd 25 instruction-tuned open-weight \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b1\u03c0\u03cc \u03b5\u03c0\u03c4\u03ac \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2, \u03bc\u03b5 \u03bc\u03b5\u03b3\u03ad\u03b8\u03b7 \u03b1\u03c0\u03cc 4B \u03ad\u03c9\u03c2 744B \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03ba\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u03c4\u03c9\u03bd \u03b5\u03c4\u03ce\u03bd 2024\u20132026.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03af\u03c7\u03b5 \u03c4\u03bf \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf score;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf Llama 3.1 8B Instruct \u03b5\u03af\u03c7\u03b5 S=0,538, \u03c4\u03bf \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf \u03c3\u03c4\u03bf \u03b4\u03b5\u03af\u03b3\u03bc\u03b1. \u0397 \u03c4\u03b9\u03bc\u03ae \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03ac\u03c4\u03b1\u03be\u03b7 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2 \u03ae \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae\u03c2 \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039c\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03c4\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03bd\u03b1 \u03c3\u03c4\u03bf\u03c7\u03b5\u03cd\u03c3\u03bf\u03c5\u03bd \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf layer;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf benchmark. \u03a4\u03bf Layer Targeting \u03ae\u03c4\u03b1\u03bd \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ac \u03bc\u03b7\u03b4\u03b5\u03bd\u03b9\u03ba\u03cc \u03c3\u03b5 \u03cc\u03bb\u03b1 \u03c4\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1, \u03b5\u03bd\u03ce \u03b7 modulation \u03b1\u03c0\u03bb\u03c9\u03bd\u03cc\u03c4\u03b1\u03bd \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03c3\u03c4\u03bf \u03b2\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03b9\u03c3\u03cc \u03c4\u03bf\u03c5 \u03b4\u03b9\u03ba\u03c4\u03cd\u03bf\u03c5.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03b1 LLMs \u03b5\u03be\u03b1\u03c0\u03b1\u03c4\u03bf\u03cd\u03bd;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u0394\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 instruction-induced \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf activations \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c1\u03b9\u03ba\u03ae \u03b1\u03c0\u03bf\u03c6\u03c5\u03b3\u03ae \u03b1\u03c0\u03bb\u03ce\u03bd monitors, \u03cc\u03c7\u03b9 \u03b1\u03c5\u03c4\u03cc\u03bd\u03bf\u03bc\u03b7 \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7, \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03b5\u03c0\u03b9\u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf \u03c3\u03c7\u03ad\u03b4\u03b9\u03bf \u03ae \u03c0\u03bb\u03ae\u03c1\u03b7 deception.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf\u03b9 activation monitors \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd supervised linear probes, Jacobian lens, activation oracles \u03ba\u03b1\u03b9 natural language autoencoders. \u0389\u03c4\u03b1\u03bd off-the-shelf monitors \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c0\u03bb\u03ae\u03c1\u03c9\u03c2 adversarially hardened \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0397 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03af\u03b1 \u03c4\u03bf\u03c5 task \u03b5\u03be\u03b1\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf\u03bd activation control;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03c3\u03c4\u03bf \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03cc load experiment \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2. \u03a3\u03c4\u03bf Gemma 3 27B \u03b7 selectivity \u03bc\u03b5\u03b9\u03ce\u03b8\u03b7\u03ba\u03b5 \u03b5\u03bb\u03b1\u03c6\u03c1\u03ac \u03bc\u03b5 \u03c4\u03b7 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03af\u03b1, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf concept signal \u03c0\u03b1\u03c1\u03ad\u03bc\u03b5\u03b9\u03bd\u03b5 \u03b8\u03b5\u03c4\u03b9\u03ba\u03cc \u03c3\u03c4\u03b9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2, \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03b7 accuracy \u03ad\u03c0\u03b5\u03c3\u03b5 \u03b1\u03c0\u03cc 96% \u03c3\u03b5 11%.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03c3\u03cd\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039d\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03bf activation monitoring \u03c9\u03c2 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf sensor \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 layered defense, \u03bc\u03b5 behavioral checks, \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 \u03b4\u03b9\u03ba\u03b1\u03b9\u03ce\u03bc\u03b1\u03c4\u03b1, adaptive red teaming, \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b1 approvals \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">\u0418\u0437\u0442\u043e\u0447\u043d\u0438\u0446\u0438<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.21664\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 Measuring Activation Control in Large Language Models<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/mkobalski\/activation-control\" target=\"_blank\" rel=\"noopener\">GitHub \u2014 \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03bf\u03c2 \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1\u03c2 \u03ba\u03b1\u03b9 derived data \u03c4\u03bf\u03c5 Activation Controllability Benchmark<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2601.11516\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 Building Production-Ready Probes for Gemini<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2412.09565\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 Obfuscated Activations Bypass LLM Latent-Space Defenses<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\" target=\"_blank\" rel=\"noopener\">NIST \u2014 AI Risk Management Framework<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03bf Activation Controllability Benchmark \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c0\u03bf\u03bb\u03bb\u03ac LLMs \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03cc \u03c4\u03bf\u03c5\u03c2 \u03c3\u03ae\u03bc\u03b1 \u03bc\u03b5 \u03bf\u03b4\u03b7\u03b3\u03af\u03b1, \u03ac\u03c1\u03b1 \u03c4\u03bf monitoring \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 layered safeguards.<\/p>","protected":false},"author":1,"featured_media":98386,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[20594,20408,18337,20593,17931],"class_list":["post-97700","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-activation-monitoring","tag-ai-models","tag-ai-safety","tag-interpretability","tag-llms"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/97700","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/comments?post=97700"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/97700\/revisions"}],"predecessor-version":[{"id":98387,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/97700\/revisions\/98387"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media\/98386"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media?parent=97700"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/categories?post=97700"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/tags?post=97700"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}