Llama-3.2-1B-Instruct

Smallest Llama model tested; benchmarked across all injection methods

Neighborhood — ranked by edge-count

concept

Llama-3.1-8B-Instruct
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Primary qualitative demonstration model and one of 14 LLMs benchmarked
Llama-3.3-70B-Instruct
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Primary model of interest showing substantial ESR; largest model tested in the study
Meta-Llama-3.1-8B-Instruct
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Backbone model used in E3 geometry analysis.
Llama-3.2-3B-Instruct
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3B Llama model tested; used for injection stride visualization

cosine ≥ 0.65 · no typed edge

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

Olmo-3-7B-Instructconcept0.816
7B OLMo model tested; used for layerwise steering visualization (Figure 4)
Olmo-3.1-32B-Instructconcept0.812
32B OLMo model quantized to 4-bit NF4; tested in OCEAN benchmarks
Llama 3.1 405Bconcept0.808
Large open-weight model showing compliance gap in helpful-only setting
LLaMA / LLaMA2 / LLaMA3concept0.806
Language model family used in cross-modal alignment experiments across multiple sizes
LLaMA3.1-70Bconcept0.806
One of four LLMs selected; larger model with D=8192 embedding dimension; analyzed across proportionally aligned layers.
LLaMA3.1-8Bconcept0.801
One of four LLMs selected for representation analysis; embedding dimension D=4096; used as demonstration model in scatter plots.
LLaMA 3.3 70Bconcept0.787
The model used in Experiment 2 for SAE feature steering experiments via Goodfire API
Llama 3.3 70B is the most likely to take on a non-Assistant persona when steered, with even split between human and nonhuman portrayalsfinding0.773
Model-specific difference in persona susceptibility