All five judge models consistently rank Llama-3.3-70B as having substantially higher ESR rates than other models

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

• Llama-3.1-8B shows mean AS ASR of 0.618 [0.58, 0.65] across 192 conditions, substantially higher than SP (0.173) and FS (0.059).finding0.835
  Quantitative vulnerability profile for Llama-3.1-8B showing AS dominance
• Llama-3.1-405B rates representative coin sequences 5.38 vs. 3.57 for non-representative, Cohen's d=5.15, p<10^-6finding0.821
  Validates Assumption D.6 that base models assign higher typicality ratings to representative (diverse) sequences
• Llama-3.3-70B shows multi-attempt rate of 7.4% vs. ≤1.2% for all other models testedfinding0.817
  Supporting finding showing ESR is driven by both higher multi-attempt rates and comparable improvement rates
• ESR exhibits non-monotonic relationship with boost level, peaking around -0.3σ below threshold in Llama-3.3-70Bfinding0.817
  Characterizes the narrow operating window in which ESR can manifest
• LLaMA-2-70B and 13B probes generalize better across datasets than 7B probes across all training sets and probe typesfinding0.801
  Larger models linearly represent more general concepts including truth
• Llama-3.3-70B corrected response scores 75/100 rather than 100 due to residual steering effects (Snell's law reference)finding0.797
  Illustrative finding that ESR mitigates but does not fully eliminate steering influence
• Llama 3.1 405B shows 14% compliance gap in minimal helpful-only replication but smaller Llama and Mistral models show no gapfinding0.790
  Replication across open-weight models supports scale-emergence finding
• All three Gemma-2 models show ESR rates below 1%, near indistinguishable from zerofinding0.787
  Establishes potential Llama-family specificity or scale specificity of ESR phenomenon