arxivcs.LGcs.AIcs.CL2026-07-13
Sparse Inter-Layer Dependencies of Transformer FFN Neurons
Johannes Knittel, Hanspeter Pfister
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. We examine whether the activ…