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Commutator Memory: Sparse, Path-Local Reading and Steering in Language Models
Gradient updates on different data generally do not commute: training a language model on two data sources in opposite orders gives different weights, even with the same data and total exposure. Loss or benchmark deltas show that the models differ, not where. We ask whether this path dependence leav
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