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This arXiv preprint tests whether activation steering, which stores past experiences as shifts in a frozen LLM's late-layer states, can serve as memory for user facts and preferences. The results are mixed. The memory is selective, leaving about 98% of unrelated replies unchanged, but stored facts are rarely recalled, and preferences can invert depending on which reference vector was subtracted. Readers building agent memory should note that the authors' explanation, that attention recomputes context-dependent effects, points to a structural limit on steering-based memory rather than a tuning problem.
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What Survives When Activation Steering Is Used as Memory

arXiv3 min de cititArticolul și perspectiva sunt în engleză.

arXiv:2610.14958v1 Announce Type: new Abstract: Activation steering has recently been used as a memory for skills: past experiences of an agent are stored as steering vectors and retrieved later. Facts and preferences about the user are assumed to need text instead. We test that assumption with a training-free activation memory beside a frozen LLM. The change an experience causes in late-layer states is stored as a shift, filed under a whitened key for the conversation's gist, and added back in a later session only when the gist matches. We argue that such a shift is a fixed average of an effect that attention, in context, recomputes for every question, so only question-independent content can survive. In a pre-registered study on Qwen3.5-2B and 9B, with judges from four model families, the memory is selective (about 98% of unrelated replies are unchanged), but facts are stored as the word to say, in the last layers only, and are almost never used (at most 15% clean use, against 96-98% in context). Leanings transfer only in a narrow strength window. Most strikingly, the reference subtracted when writing a preference decides whether its concept or its direction survives: unless the opposite is subtracted, a stored dislike is recalled as a like.

Abstract:Activation steering has recently been used as a memory for skills: past experiences of an agent are stored as steering vectors and retrieved later. Facts and preferences about the user are assumed to need text instead. We test that assumption with a training-free activation memory beside a frozen LLM. The change an experience causes in late-layer states is stored as a shift, filed under a whitened key for the conversation's gist, and added back in a later session only when the gist matches. We argue that such a shift is a fixed average of an effect that attention, in context, recomputes for every question, so only question-independent content can survive. In a pre-registered study on Qwen3.5-2B and 9B, with judges from four model families, the memory is selective (about 98% of unrelated replies are unchanged), but facts are stored as the word to say, in the last layers only, and are almost never used (at most 15% clean use, against 96-98% in context). Leanings transfer only in a narrow strength window. Most strikingly, the reference subtracted when writing a preference decides whether its concept or its direction survives: unless the opposite is subtracted, a stored dislike is recalled as a like.

12 pages, 7 figures, 2 tables. Code: this https URL

Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG)

arXiv:2610.14958 [cs.AI]

(or arXiv:2610.14958v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2610.14958 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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