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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. 4-RES-JB
    11. 587
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ovember
    -0.84
    enery
    -0.79
    endish
    -0.78
    ervatives
    -0.75
    artney
    -0.75
    borough
    -0.73
    osexual
    -0.73
     Cath
    -0.71
    gypt
    -0.70
    girls
    -0.69
    POSITIVE LOGITS
    Desk
    0.73
    cture
    0.69
    century
    0.67
    QUI
    0.65
     Entered
    0.61
    vantage
    0.59
     inscribed
    0.59
    athered
    0.58
    Zip
    0.58
     BIT
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.