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Persistent Depth Ordering amid Shifting Block-Bypass Responses in Language Model Pretraining
Layer interventions are widely used to probe the internal organization of language models, yet most analyses examine a single training checkpoint even though model representations and computations evolve throughout pretraining. This leaves open which depth-dependent intervention responses reflect pe
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