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An Adversarial Example for Direct Logit Attribution: Memory Management in GELU-4L

Published 11 Oct 2023 in cs.LG and cs.AI | (2310.07325v4)

Abstract: Prior work suggests that LLMs manage the limited bandwidth of the residual stream through a "memory management" mechanism, where certain attention heads and MLP layers clear residual stream directions set by earlier layers. Our study provides concrete evidence for this erasure phenomenon in a 4-layer transformer, identifying heads that consistently remove the output of earlier heads. We further demonstrate that direct logit attribution (DLA), a common technique for interpreting the output of intermediate transformer layers, can show misleading results by not accounting for erasure.

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