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Rethinking Circuit Evaluation: Do Circuits Explain Model Errors?

Paper recorded by Signals 4 on 2026-09-28 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-28 on arXiv · recorded by Signals 4 on 2026-09-29

Category: cs.AI · 人工智能 · first seen 2026-09-29

Abstract

Mechanistic interpretability (MI) aims to explain a model's behaviour through analyzing its internal computations; circuit-based explanations aim to isolate these computations with compact subnetworks validated by ablating the rest of the model. We show that circuits validated this way may fail to recover the underlying mechanism of the model's behaviour by closely reproducing its successful decis

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#17 most recent of 440 cs.AI papers we have recorded · ↑ newer: Report: Progressive Disclosure of Agent Skills · ↓ older: Verifier Errors in RLVR: Reward Hacking, Limits of Feedback, and Selec
Cite this page: Rethinking Circuit Evaluation: Do Circuits Explain Model Errors?: the #17 most recent of 440 cs.AI papers we have recorded (as of 2026-09-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/rethinking-circuit-evaluation-do-circuits-explain-model-errors.html
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