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Attention Mean Fields Predict Average Representation Dynamics and Reveal Context-Specific Computation
A language model's representation geometry is not predetermined; it evolves as the model runs. A faithful account of that geometry must capture that dynamic process, and so cannot be based solely on model-independent statistics such as co-occurrence. Here we introduce a mean-field analysis of attent
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