What dimensions of persona are not captured by our extracted role vectors, and how complete is the current persona space mapping?

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• There may exist a natural 'persona basis' characterizing the space of all model personas, with correlations between persona vectors predicting co-expression of traitshypothesis0.841
  Open question proposed by authors for future work on the dimensionality and structure of persona space
• How high-dimensional is the space of all model personas, and does there exist a natural persona basis?question0.832
  Open question proposed by authors for future research on characterizing the full space of personas
• The first principal component of persona space (the 'Assistant Axis') captures the assistant vs alternative persona distinction consistently across three models with role loading correlations exceeding 0.92finding0.817
  Finding establishing cross-model consistency of the assistant axis as the dominant structure in persona space
• Persona vectors capture signal specific to their assigned trait, as evidenced by within-trait correlations exceeding cross-trait baselinesclaim0.815
  Author's interpretation establishing that persona vectors are not merely general misalignment indicators
• How does different post-training data shift a model's position along persona dimensions?question0.806
  Future work direction: using persona space to study effects of training data on model character
• Differences in persona vector geometry across checkpoints correspond to meaningfully different versions of the personaclaim0.803
  Connects geometric refinement findings to semantic/facet changes in persona expression
• We hypothesize that the PC1 axis of role space measures deviation from the Assistant personahypothesis0.801
  Motivates computing the contrast vector as the formal Assistant Axis definition
• Persona space is remarkably low-dimensional: just 4 components explain 70% of variance among 275 roles in Gemma 2 27Bclaim0.801
  Empirical support for Hypothesis 2, suggesting tractable structure in the space of LLM personas