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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 21326
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Vik
    -0.83
    elight
    -0.73
     Flavoring
    -0.71
     Tuls
    -0.70
    asters
    -0.70
     Valkyrie
    -0.68
    aker
    -0.67
     Sales
    -0.67
     Remastered
    -0.67
     Carolyn
    -0.66
    POSITIVE LOGITS
    paren
    0.83
    ually
    0.73
     subscript
    0.69
    uating
    0.68
    oS
    0.64
    uated
    0.63
    ¶
    0.63
    ual
    0.63
     spor
    0.63
    missible
    0.61
    Activations Density 0.000%

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