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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. 10-RES-JB
    11. 6438
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     helicop
    -0.56
     conclud
    -0.54
     Gott
    -0.53
    ibles
    -0.53
     Berks
    -0.52
     freezes
    -0.51
     oun
    -0.50
     numbering
    -0.50
    naires
    -0.50
     Patriarch
    -0.49
    POSITIVE LOGITS
    /?
    0.86
    /-
    0.85
    /+
    0.81
    //
    0.78
    /_
    0.72
    /
    0.69
    img
    0.68
    /
    0.67
    lihood
    0.67
    /*
    0.66
    Activations Density 0.020%

    No Known Activations