Agreeableness-Conscientiousness Big Two correlation is observed in 10 of 13 LLMs; N-C correlation is rarest (1 LLM)

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Only 46.15% of cases show covariance patterns consistent with the Big Two model; no LLM satisfies all Big Two correlationsfinding0.798
  Suggests a gap between LLM learned representations and human personality structure as described by Big Two
• Kendall's τ = 0.76 (p<.001) for Conscientiousness dimension LLM scoring vs human judgmentfinding0.777
  Validates GPT-4o scoring reliability for Conscientiousness personality dimension
• Li et al. 2024: larger LLMs outperform smaller ones at distinguishing self-related from non-self-related properties on self-awareness benchmarksfinding0.776
  Prior finding showing scale-dependent self-awareness, consistent with the scale effect observed in the paper's Experiment 1
• Models fine-tuned on human data show strong positive correlation between misalignment and incoherence; misalignment scores fall below 1% when incoherence threshold is appliedfinding0.767
  Human data fine-tuning effect is distinct from synthetic emergent misalignment and likely caused by off-policy training
• Overall human-LLM judge agreement rate for coherency is 91.7% across 120 pairwise judgmentsfinding0.763
  Validates the LLM-as-a-Judge evaluation protocol for coherency scoring
• Overall correlation between accuracy and contra-positive coherence across all models is 0.41 on Leap-of-Thought.finding0.762
  Quantitative result showing weaker relationship between accuracy and contra-positive coherence.
• On Llama-3.1-8B, conscientiousness is the trait most anti-aligned with the refusal direction in activation space, explaining why steering toward high conscientiousness attenuates safety regardless of semantic intent.claim0.758
  Core mechanistic finding of the trait refusal alignment framework
• Spearman's rank correlation among different alignment metrics (CKA, SVCCA, Mutual k-NN, CKNNA) over 78 vision models is high across variants, with all p-values below 2.24×10^-105finding0.758
  Validates robustness of alignment metric choice