Sampling reveals style: unsupervised, training-free discovery of prompt-conditional stylistic axes in LLM activations
Read the original at arxiv.org→arXiv:2609.19150v1 Announce Type: new Abstract: Large language models (LLMs) encode rich stylistic structure in their hidden activations, but discovering which stylistic dimensions are salient for a given prompt...
Original headline: "Sampling Reveals Style: Unsupervised, Training-Free Discovery of Prompt-Conditional Stylistic Axes in LLM Activations"
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- Sep 18, 04:00 UTC arXiv cs.CL lead source Sampling Reveals Style: Unsupervised, Training-Free Discovery of Prompt-Conditional Stylistic Axes in LLM Activations