What shared semantic or qualitative factor explains why some steering vectors produce more salient and detectable perturbations than others?

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

• Steering vectors discover effective triggers such as 'However' and 'Otherwise', consistent with prior reported reflection datasetsfinding0.818
  Validates that steering vectors capture reflection semantics by finding tokens reported in related work.
• Steering vectors capture latent dimensions of reflective behavior more faithfully than surface-level embedding similarity.claim0.802
  Supported by the instruction discovery experiments comparing steering vs. embedding baselines.
• Steering vectors enable systematic discovery of reflection-inducing instructions beyond trial-and-error prompt design.claim0.788
  Core applied contribution claim, supported by top-k accuracy comparisons.
• Linear steering is often mismatched with a model's internal representation geometry, producing noisy, off-target effects.claim0.780
  The paper's critique of the standard linear steering baseline, supported by the days-of-week demo.
• Steering vectors used to reduce eval awareness can inadvertently introduce alternative user personasfinding0.780
  A side effect observed when applying activation steering: the model's response persona changed unexpectedly.
• Steering vector constructed from all 16 contrastive pairs outperforms most single-pair vectors; best 4-pair vector outperforms full 16-pair vectorfinding0.772
  Demonstrates averaging multiple prompt pairs reduces noise; optimal subset selection further improves performance.
• Linear steering produces noisy off-target effects; manifold steering cleanly shifts probability mass between sequential concepts.finding0.770
  Core empirical claim comparing steering approaches on cyclic concepts.
• manifold steering produces clean probability shifts along natural behavior structure; linear steering cuts across manifold and produces off-target noisy effectsfinding0.768
  Empirical demonstration on Llama-3.1-8B that steering along representation manifold aligns outputs with behavior manifold, whereas linear steering does not.