pith:DRCNPBOL
When Attention Closes: How LLMs Lose the Thread in Multi-Turn Interaction
LLMs lose track of instructions in multi-turn chats when attention to goal tokens fades, though residual streams may still encode the needed information.
arxiv:2605.12922 v1 · 2026-05-13 · cs.AI · cs.CL
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Record completeness
Claims
Across architectures and model scales, the gap between attention loss and residual decodability predicts whether goal-conditioned behavior survives channel closure.
That the linear probes on residual streams recover causally relevant goal information rather than spurious correlations, and that the sliding-window ablations isolate the attention channel without confounding other mechanisms.
Attention to goal tokens declines in multi-turn LLM interactions while residual representations often retain decodable goal information, and the gap between these predicts whether goal-conditioned behavior survives.
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Receipt and verification
| First computed | 2026-05-18T03:09:10.199507Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1c44d785cbe2cafe29f20d287d18ecdca6420aaac85dabee8dacae5215f2c33d
Aliases
· · · · ·Agent API
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/DRCNPBOL4LFP4KPSBUUH2GHM3S \
| jq -c '.canonical_record' \
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Canonical record JSON
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