MDS injections show no salient patterns in MPI-120 inventory responses beyond occasional co-occurring peaks

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• Why do MDS injections outperform other methods on the inventory (multiple-choice) task?question0.801
  Identified as an unexplained result and open question in limitations section
• MDS injections align with the Linear Representation Hypothesis: target trait varies near-linearly with alpha in open-ended generationclaim0.790
  Theoretical alignment claim backed by OLS R2 analysis showing 96.15% of trends have R2>=0.75
• MDS injections can steer toward multiple distinct constructs in the same completion, producing strongly polarized yet smoothly connected segmentsfinding0.779
  Qualitative finding demonstrating unique capability of activation-level interventions unavailable to prompting methods including PM
• Uncalibrated sweep units and restricted coefficient ranges are the primary cause of prior reports showing P2 outperforming MD injectionsclaim0.776
  Mechanistic explanation for discrepancy with Banayeeanzade et al.; addressed by centroid unit and unbounded sweep contributions
• MDS injections outperform P2 in open-ended generation in 11 of 14 LLMs with Phi gains of 3.61% to 16.44%finding0.773
  Primary quantitative result overturning prior reports that prompting outperforms representation engineering
• Do the findings about MDS injection effectiveness generalize to base (non-instruction-tuned) language models?question0.765
  Acknowledged limitation: only instruction-tuned models were studied
• MDS injection steering efficiency peaks at mid-layers across LLMs, injection strides, and OCEAN traitsfinding0.758
  Consistent empirical pattern supporting the connection between mid-layer representations and emotion/behavioral content
• gemma-3-1b-it yields only one valid MDS injection score (phi_1,A,up = 4.8) and is excluded from main analysesfinding0.749
  Identified exception to overall MDS effectiveness; reason remains unexplained as a limitation