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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. 0-RES-JB
    11. 7628
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atown
    -0.82
    aeda
    -0.82
    comm
    -0.77
    ilial
    -0.75
    ascar
    -0.75
    tera
    -0.72
    veland
    -0.71
    ipedia
    -0.70
    isconsin
    -0.69
    iscopal
    -0.68
    POSITIVE LOGITS
     Memor
    0.66
     allowance
    0.61
     Tenth
    0.60
    OUR
    0.58
    hart
    0.57
     interpol
    0.56
     recovery
    0.56
     Rift
    0.55
     Loch
    0.55
     Ney
    0.54
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.