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This talking signal gives public context for research themes, product direction, policy, or launch framing. 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Instead, we seek to cultivate in Claude’s responses “good judgment and sound values that can be applied contextually.” How, exactly, do we study the values that Claude expresses and how they change in different contexts? In previous work , we analyzed 700,000 anonymized Claude.ai conversations, identifying more than 3,000 distinct values in Claude's responses and how often Claude expressed them. But a list of values so large is hard to reason about. In this work, we make studying these thousands of values tractable by compressing them into a small number of axes that capture key patterns in Claude’s responses. 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