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functionalwelfare.com↗

How’s it going? Reinforcement learning in language models recruits a functional welfare axis

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How does reinforcement learning shape a language model’s internal representations? We present evidence that RL recruits a pre-existing representation of functional welfare: an estimate of how well or badly the system is doing, relative to its goals. We train several language models in a novel, semantically neutral maze environment. We then extract concept vectors for rewarded and punished trajectories, and evaluate those vectors in settings unrelated to the maze environment. The punishment vecto

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Website	functionalwelfare.com ↗
Site language	English
Last read	22 Sep 2026

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