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The method proceeds in three steps: repeatedly sampling a single prompt at high temperature to generate multiple completions, applying PCA dimensionality reduction to the hidden activations of the completions, and automatically assigning semantic labels to the positive and negative poles of each principal axis—all without updating model parameters.
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9/18/2026
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