Chris Potts critiques auto-interp evaluation: precision, recall, and the case for ex ante testing

ChrisGPotts · x · 2026-10-19

Chris Potts argues the auto-interp field has persistently ignored precision and recall, over-relying on heuristic spot-checks that invite just-so stories. His extended evaluation of Bills et al. (2023) advocates an intervention-based, ex ante evaluation approach; collaborator Leo's new LessWrong post suggests sympathy with that assessment.

Related event: Stanford's Chris Potts critiques auto-interpretability evaluation and clarifies stronger models are easier to interpret(2 posts)→

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