Interpretability finding: top circuit components don't fully explain model predictions
Sauers_ · x · 2026-10-02
The author cites interpretability research arguing that the top network components "do not provide anything close to a full account of the relevant computation" behind a model's prediction. The quoted example: a base model predicts "her" after "The princess lost..." via two separate computational pathways — the femaleness of the princess token plus grammatical pronoun prediction after verbs — showing limits of attributing behavior to single components.
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