Unverified50% confidenceFactExact time
PCA reduces the dimensionality of hidden activations from multiple samples of the same prompt; the first principal component captures the direction of greatest variance among the sampled results, corresponding to the style dimension along which the model varies most dramatically.
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Long-term
Relevance
9/18/2026
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