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Tian et al. (2023) revealed that the self-attention mechanism exhibits a 'scan and snap' dynamic, where the model initially distributes attention uniformly across all tokens and gradually focuses on distinctive tokens discriminative for predicting specific next tokens while reducing attention on common tokens.

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