Standard deviation of Elo trait scores increases dramatically after character training, indicating more opinionated trait preferences

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• Average Spearman correlation of Elo trait rankings between all three models increases to 0.87 after loving constitution character trainingfinding0.792
  Post-training inter-model convergence in trait preferences demonstrating persona convergence
• Character training induces convergence in trait preferences across different initial modelsclaim0.788
  Claim supported by Spearman correlation increase from 0.44 to 0.87 across three models after loving persona training
• What is the exact mechanism by which synthetic introspective data improves character trait expression — how does varying amount, diversity, or source affect outcomes?question0.782
  Open question identified in Discussion as future work
• Is there a tradeoff between subtlety of trait expression and robustness in character-trained models?question0.779
  Open question raised in Appendix E regarding misaligned persona behavior
• Character training operates holistically on the persona, suppressing intuitively opposing traits as well as boosting desired onesclaim0.769
  Claim that models learn the spirit of the constitution, not just its letter, evidenced by suppression of opposing traits
• Character training changes the manner of responses rather than their informational contentclaim0.758
  Central claim demonstrated by Figure 1 where all responses constitute refusal but are conveyed differently
• Character training has little to no effect on general model capabilities as measured by common benchmarksclaim0.756
  Key practical claim about preserving capability, with exception of misalignment persona's factual knowledge degradation
• Character training alters the assistant's default behavior rather than adding a superficial role-play layerclaim0.755
  Core claim distinguishing character training from role-playing, evidenced by robustness to break-character instructions