arxiv
PublishedJuly 16, 2026 at 4:00 AM
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Sparse Inter-Layer Dependencies of Transformer FFN Neurons
Publisher summary· verbatim
arXiv:2607.11990v1 Announce Type: cross Abstract: Feedforward network (FFN) blocks account for a large fraction of the parameters and computation in Transformer architectures, yet their internal structure remains difficult to interpret due to the additive superposition induced by the residual stream
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Originally published on arxiv ↗