mlsanityData to 14 Oct 2026

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

arXiv 2310.07325 ↗First posted 11 Oct 2023cs.LG cs.AIcited by 11

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Abstract (arXiv)

Prior work suggests that language models 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.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 20 of its 39 references that are in the map. First posted on arXiv 11 Oct 2023.

Builds on

20 of 39 references.

References · 20

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8 more
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 4; 2025: 1; 2026: 6.

11 papers.