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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. 5-RES-JB
    6. 10520
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    venge
    -0.82
    adelphia
    -0.71
    ilogy
    -0.69
     overwrite
    -0.63
    omatic
    -0.62
     adjustment
    -0.62
     atmosp
    -0.62
    ieth
    -0.62
     cs
    -0.62
     comma
    -0.61
    POSITIVE LOGITS
    patrick
    0.74
    Amazon
    0.69
    rad
    0.68
    armac
    0.67
    bett
    0.66
    Electric
    0.66
    Introduced
    0.66
     Parade
    0.66
    zik
    0.66
     McCabe
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.