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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. 2-RES-JB
    11. 24127
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Nicotine
    -0.74
    ansky
    -0.61
    olulu
    -0.60
    hot
    -0.60
    orsche
    -0.60
     rarity
    -0.60
     Yor
    -0.59
    aimon
    -0.59
     circulation
    -0.59
     matter
    -0.59
    POSITIVE LOGITS
     corrid
    0.78
     encour
    0.74
     )]
    0.71
     rall
    0.69
     Volunte
    0.68
     confir
    0.64
    ufact
    0.63
    sbm
    0.62
    paren
    0.62
    DEBUG
    0.62
    Activations Density 0.000%

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