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We identify incremental learning dynamics in transformers, where thedifference between trained and initial weights progressively increases in rank.We rigorously prove this occurs under the simplifying assumptions of diagonalweight matrices and small initialization. Our experiments support the theoryand also show that phenomenon can occur in practice without the simplifyingassumptions.

Transformers learn through gradual rank increase