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concept:announcing-open-source-saes-for-llama-3-3-70b-and-llama-3-1-8b-balsam-et-al-2025

Announcing Open-Source SAEs for Llama 3.3 70B and Llama 3.1 8B (Balsam et al., 2025)

Goodfire blog post describing SAEs used for Llama models in this study

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Related by similarity (8)

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.

  • Open-source SAEs from Goodfire used for Llama model experiments, trained on instruction-tuned models
  • LLaMA3.1-8Bconcept0.809
    One of four LLMs selected for representation analysis; embedding dimension D=4096; used as demonstration model in scatter plots.
  • LLaMA3.1-70Bconcept0.807
    One of four LLMs selected; larger model with D=8192 embedding dimension; analyzed across proportionally aligned layers.
  • LLaMA 3.3 70Bconcept0.786
    The model used in Experiment 2 for SAE feature steering experiments via Goodfire API
  • Primary model of interest showing substantial ESR; largest model tested in the study
  • Primary qualitative demonstration model and one of 14 LLMs benchmarked
  • 3B Llama model tested; used for injection stride visualization
  • Llama 3.1 405Bconcept0.765
    Large open-weight model showing compliance gap in helpful-only setting