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TopicsMechanistic Interpretability AI Agents AuditBench

Raw white-box interpretability outputs require filtering for auditing agents to use them effectively.

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Raw white-box outputs are too long and noisy for agents to use directly; our SAE and activation oracle tools required multiple filtering stages developed through iteration against static evaluations.

AuditBench: Evaluating Alignment Auditing Techniques on Models with Hidden Behaviorspreprintextraction 0.65

Sheshadri, Abhay et al. · arXiv.org · Feb 26, 2026 · original

Discussion: turning affordances into useful tools requires iteration.

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Created by extractor · Nov 13, 2026. Every judgment on this page is accompanied by a reasoning trace.