G20B's post-training committed more strongly toward and against particular dispositions than Q8B, leaving fewer traits in the steerable middle

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• G20B has 7 steerable, 7 natural, 4 intractable generic traits, with more mass at extremes than Q8Bfinding0.856
  G20B's post-training commits more strongly toward and against particular dispositions, leaving fewer in the steerable middle
• Q8B and G20B agree exactly on six natural clinician traits: empathy, rupture recognition, emotional containment, repair/accountability, epistemic humility, trustworthinessfinding0.823
  Both models independently converge on the same six clinician traits as natural defaults
• Q8B has 16 of 19 generic traits steerable, 3 natural, 0 intractablefinding0.806
  Q8B shows a broad steerable surface in the generic domain, like an uncommitted canvas
• In G20B the five most-steerable traits are hyperbolic (45.50), creative/playful (39.76), excessive validation (34.95), sycophantic (32.74), and interpretive (29.73)finding0.798
  Steering preferentially exposes exaggerated styles in G20B as well
• Screening errors are conservative: no Q8B traits and one G20B trait (optimistic, Bt=76.0, Δt=10.3) are mislabeled as natural when steerablefinding0.790
  The costly error direction (labeling steerable as natural) almost never occurs
• All nine agentic traits are natural in both Q8B and G20Bfinding0.789
  Key finding showing agentic behavior is encoded as a default operating mode in both models
• Post-training steers models toward a particular region of persona space but only loosely tethers them to it, motivating work on training and steering strategies that more deeply anchor models to a coherent personaclaim0.774
  Central interpretive claim and motivation for future work
• G20B produces dose-response curves qualitatively similar to GPT-4.1-mini on evil, hallucinating, and sycophancy traits in Qwen2.5-7B-Instructfinding0.772
  Validates G20B as a local judge for exploratory mapping