arxiv
PublishedNovember 10, 2026 at 5:00 AM
Sampling Reveals Style: Unsupervised, Training-Free Discovery of Prompt-Conditional Stylistic Axes in LLM Activations
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arXiv:2609.19150v3 Announce Type: replace Abstract: Large language models (LLMs) encode rich stylistic structure in their hidden activations, but discovering which stylistic dimensions are salient for a given prompt typically requires supervised contrastive data. We present a training-free, prompt-c
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Originally published on arxiv ↗