Our method achieves superior performance compared to Contrastive Activation Addition.

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• Ali et al. 2025 found contrastive activation addition less effective at larger model scale, consistent with ESR in 70Bfinding0.821
  Prior finding from related work that aligns with ESR being strongest in the largest model tested
• Contrastive Activation Addition (CAA)method0.806
  An existing activation steering method used as comparative baseline.
• Reflection Enhancement via Activation Additionmethod0.779
  Adding steering vector in forward direction to push model activations toward stronger reflective behavior.
• The contrast vector method is recommended over PC1 for reproducing the Assistant Axis in different models because it is not guaranteed that PC1 in every model will correspond to an Assistant Axisclaim0.773
  Practical methodological recommendation based on Llama 3.1 70B failure case
• Hypothesis: Retrieval-augmented generation raises effective cohesion ρdhypothesis0.744
  UCCT's theoretical prediction about how RAG maps onto the anchoring score
• Representation engineering and prompting methods may combine to achieve stronger behavioral expression across other domainsclaim0.743
  Broader implication of PM hybrid's superior performance; extrapolated from OCEAN results
• Contrast, instead of separating things, brings them together when used to help centers become alive; contrast that fails to create deeper feeling is merely accidental or eye-catchingclaim0.742
  Claim distinguishing good contrast (Shaker schoolroom, which unifies) from bad contrast (glaring lobby staircase, which separates)
• Activation steering interventions generally succeed in guiding performance toward the desired direction (enhancement increases accuracy, inhibition decreases accuracy) compared to unsteered baselinefinding0.741
  Core validation that identified latent directions correspond to meaningful control over reflective behavior.