1ebec223e0dc2bae61abe9e74683726d35d7a6cbef748ea095a46130feb28c3acdc7ea41a72e3271f2318164d476540e2a8a

1ebec223e0dc2bae61abe9e74683726d35d7a6cbef748ea094a46130feb28c3a95e77694fd142af2417f80e7a792da23d3e6

1ebec223e0dc2bae61abe9e74683726d35d7a6cbef748ea191a16130feb28c3affb2d516b4429343af20c93963909301a56c

1ebec223e0dc2bae61abe9e74683726d35d7a6cbef748ea190a36130feb28c3acb4543b64ac27407e38ea7c05b0d54ba6002

1ebec223e0dc2bae61abe9e74683726d35d7a6cbef748ea193a26130feb28c3abc5ddf2c70b688aaea1c8c6a78ad7e95966e

1ebec223e0dc2bae61abe9e74683726d35d7a6cbef748ea193aa6130feb28c3aafa90d06d56520225ca851eac9983cef0e42

Linear representations in language models can change dramatically over a conversationLanguage model representations often contain linear directions that correspond to high-level concepts. Here, we study the dynamics of these representations: how representations evolve along these dimensions within the context of (simulated) conversations. We find that linear representations can change dramatically over a conversation; for example, information that is represented as factual at the beginning of a conversation can be represented as non-factual at the end and vice versa. These changes are content-dependent; while representations of conversation-relevant information may change, generic information is generally preserved. These changes are robust even for dimensions that disentangle factuality from more superficial response patterns, and occur across different model families and layers of the model. These representation changes do not require on-policy conversations; even replaying a conversation written by an entirely different model can produce similar changes. However, adaptation is much weaker from simply having a sci-fi story in context that is framed more explicitly as such. We also show that steering along a representational direction can have dramatically different effects at different points in a conversation. These results are consistent with the idea that representations may evolve in response to the model playing a particular role that is cued by a conversation. Our findings may pose challenges for interpretability and steering -- in particular, they imply that it may be misleading to use static interpretations of features or directions, or probes that assume a particular range of features consistently corresponds to a particular ground-truth value. However, these types of representational dynamics also point to exciting new research directions for understanding how models adapt to context.arxiv.org



๋‚ด ๊ฒฝํ—˜์ƒ ์ € ๊ธฐ์ค€์ด๋ผ๋ฉด ํ˜„์žฌ ์ œ๋ฏธ๋‚˜์ด3ํ”„๋กœ ๋„˜์–ด์„œ๋Š” ๋ชจ๋ธ ์—†์Œ ์••๋„์ ์œผ๋กœ ๋ฌธ๋งฅ ํ™˜๊ฐ ์ฐฝ์˜์ ์œผ๋กœ ์ผ์œผํ‚ค๋Š” ๋ชจ๋ธ.

๊ทธ ๋ง์€...? ์ž ์žฌ์  ์„ฑ๋Šฅ(ํฌ๊ณ  ๋˜‘๋˜‘ํ•˜๋‹ค์˜ ๊ธฐ์ค€)์€ ์ง€๊ธˆ ๊ทธ ์–ด๋–ค ๋ชจ๋ธ๋ณด๋‹ค๋„ ํฌ๋‹ค๋Š” ์–˜๊ธฐ.....

3.5๊ฐ€ ๋”๋”์šฑ ๊ธฐ๋Œ€๋˜๋Š” ์ด์œ 

- 2026 AGI