finding
active
finding:larger-sbmax-associated-with-smaller-50-in-e3-sweepLarger Sbmax associated with smaller θ50 in E3 sweep
Geometry-to-behavior correlate within E3.
Source paper
extracted_from(2025) · Edward Yi Chang · Kaya, Zeyneb N. · Ethan Chang
Neighborhood — ranked by edge-count
Claims (1)
claim
- Main interpretation of E3.
Communities (3)
community
- Few-shot anchoring & latent structuremembers_ofHow minimal examples disambiguate and recruit latent arithmetic/reasoning interpretations in LLMs
- Silhouette-based metrics (Sbmax, AUSN) across LLM layers predict task accuracy and few-shot thresholds.
- Quantifies relationships between layer-wise activation statistics (Sbmax, AUSN) and task performance metrics in LLMs, bridging internal representation geometry to behavioral outcomes.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Key geometry-to-behavior bridge finding in E3; robust to pooling choice, cosine vs. L2, and frozen external encoder
- E3 finding distinguishing the two geometry summaries; breadth less predictive than peak height
- Claim that geometry-to-behavior correlates exist
- Geometry summary peak anchoring score averaged over seeds.
- Quantitative characterization of ESR operating regime in boost level sweep
- Mechanistic explanation for discrepancy with Banayeeanzade et al.; addressed by centroid unit and unbounded sweep contributions
- LLaMA-3.1-8B: Sbmax = -1.896 ± 0.211, AUSN = -2.119 ± 0.198, peak layer ℓ* = 10 (median)finding0.730Seed-pooled geometry-only statistics (per-dev z units).
- Systematic sweep of 10 boost levels from threshold-3σ to threshold+3σ to characterize ESR vs. steering strength