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Overall, it is shown IRT is a ready-made toolkit for reading, reducing, and auditing safety benchmarks, which frontier labs and evaluators adopt.
The Activation Controllability Benchmark is introduced to quantify the extent to which models can modulate their residual stream via natural-language instruction, and suggests that control over the activation space itself could become a confound for monitoring as introspective capabilities increase.
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