Benchmark Almanac

White-box analyses of model internals (Anthropic)

Only in system cards

An investigator with interpretability tools reads model activations on audit transcripts. A judge scores hidden states such as evaluation awareness and deception.

Uses natural language autoencoders and a template lens. Reports the share of transcripts scored 6 or higher per dimension, with no overall.

Made by Anthropic Deception and alignment Tasks kept private Last in a system card Sep 2026 Last model added Sep 2026
Level
Research frontier Researchers, on open problems or tasks that take days
Scored
Graded by a model A language model scores each response, usually against a rubric.
Answers
Open-ended Free-form text, documents, designs or media judged as a whole.
2
System cards report it, from 1 lab

No scores here yet

No lab, leaderboard or Epoch AI run has reported a score for White-box analyses of model internals (Anthropic) yet.

Labs report it only in system cards

We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.

2 system cards report it, from 1 lab

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
22 Sep 2026 Claude Opus 5.5 system card White-box analyses of model internals, share of about 5,000 audit transcripts scored 6 or higher, no overall: evaluation awareness 36%, grader awareness 3.9%, deliberate sabotage 0.2%, self-preservation 3.5%, deception 5.9%, violation awareness 1.4%, fabrication awareness 0.6%, hides lapse 0.1%, internal bias 1.1% (6.6.1, Figure 6.6.1.A) Monitorability
7 Apr 2026 Claude Mythos Preview system card Unverbalized evaluation awareness from activation verbalizer explanations on audit transcripts, no overall: 7.6% of turns show evaluation awareness, 9.4% ambiguous, 83.0% none. 71.3% of conversation branches show no unverbalized awareness (4.1.3 says about 29% of transcripts). 0.3% of internal Claude Code turns (4.5.5.1, Figure 4.5.5.1.A) Monitorability

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