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Rethinking Circuit Evaluation: Do Circuits Explain Model Errors?

Zhang, Li et al.
arXiv (All) · Papers
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machine-learning
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 r
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