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Copying Before Suppression: What Drives a Below-Chance Dip During Language Model Training?

arXiv:2610.04119v1 Announce Type: new Abstract: Mechanistic interpretability usually studies fully trained models, yet the computations that drive a behaviour can change while the model is still learning the task. On the Indirect Object Identification task, a model should continue with the name men…

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  1. 2026-10-06 04:00 · arXiv cs.CL
    Copying Before Suppression: What Drives a Below-Chance Dip During Language Model Training?

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