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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 22879
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    Explanations

    ingredients and quantities in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    ingredients and measurements in recipes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     trump
    -0.87
     glac
    -0.84
     curly
    -0.81
     increasingly
    -0.81
     widely
    -0.80
     flowing
    -0.79
     hotly
    -0.79
     previously
    -0.77
     prolifer
    -0.76
     habit
    -0.76
    POSITIVE LOGITS
    Conclusion
    1.89
    Advertisements
    1.74
    References
    1.60
    Notes
    1.55
    Other
    1.53
    Disclaimer
    1.50
    Translation
    1.50
    Total
    1.50
    Discussion
    1.49
    Others
    1.49
    Activations Density 0.174%

    No Known Activations