Researcher: 'later transformer layers are useless' is an artifact of weak pretraining stacks

_aidan_clark_ · x · 2026-10-16

A concrete example of how interpretability findings depend on pretraining quality: lots of prior work claimed later transformer layers are largely useless, which is simply untrue on good pretraining stacks.

Related event: Ex-OpenAI Researcher: Poor Pretraining Stacks Produce Misleading 'Useless Layers' Claims(2 posts)→

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