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paperLlms Post Training

Stanford's MAttr Tops AI Interpretability Benchmark by Nearly 3x

A new interpretability method learns which internal components matter for a behavior, and pinpoints just 1% of Llama 3.1 weights driving refusals.

Source

AlphaSignal

Published

Sep 24, 2026, 6:01 AM

Author

AlphaSignal Newsroom

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1 min read

A new interpretability method learns which internal components matter for a behavior, and pinpoints just 1% of Llama 3.1 weights driving refusals.

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