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ENTITY Calibrating Interpretability Instruments Before Trusting Their Verdicts

Calibrating Interpretability Instruments Before Trusting Their Verdicts

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  1. TOOL · CL_254351 ·

    New paper details common failures in LLM interpretability methods

    A new paper from Orion Reblitz-Richardson, published on arXiv, details six common failures in causal interpretability methods used for large language models (LLMs). These failures can lead to incorrect conclusions about…