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Evaluators and safety organisations · Article · Goodfire

A practical guide to sparse autoencoders (SAEs)

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Outline · 71 paragraphs

  1. What are SAEs?¶4
  2. What kinds of problems are SAEs useful for?¶16
  3. When should you use a different method?¶21
  4. Training a good SAE¶35
  5. Choosing where to read activations¶38
  6. Collecting activations¶40
  7. Training the SAE¶44
  8. Labeling features¶50
  9. Infrastructure¶53
  10. Using Silico to train an SAE¶55
  11. Conclusion¶62
  12. Footnotes¶65