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Attention Sinks Induce Gradient Sinks: Massive Activations as Gradient Regulators in Transformers

Chen, Yihong et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learning
Attention sinks and massive activations are recurring and closely related phenomena in Transformer models. Existing explanations have largely focused on the forward pass, yet in pre-norm Transformers, large residual-stream norms play only an indirect forward role because sublayers operate on normali
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