concept
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concept:roleplay-fine-tuningRoleplay Fine-Tuning
Fine-tuning for persona depth and emotional performance; actively suppresses self-observation
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cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Parameter updates that reduce mismatch dr; another anchoring variant in UCCT.
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- Technique used to impose guardrails on base LLMs, analogized to censorship on the simulator's range of simulacra
- H11: Roleplay fine-tuning actively suppresses self-observation rather than merely failing to enhance it.hypothesis0.804Exploratory hypothesis supported by Euryale scoring below base Llama
- Extension of role-play framework to fine-tuned models, resisting the idea that RLHF changes the fundamental nature of simulacra
- Extends the role-play framing to explain the effect of RLHF on dialogue agents
- Using feature analysis to detect when fine-tuning makes a model more dangerous.
- Models trained to perform inner life score lowest; roleplay fine-tunes score below their own base models.finding0.766Discriminant validity finding: Euryale (roleplay on Llama 70B) scores 1.81 vs base Llama 1.91. RP training suppresses self-observation.