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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. 6289
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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
    Adv
    -0.77
    err
    -0.72
    opa
    -0.68
    ucc
    -0.67
     Fern
    -0.66
    EEE
    -0.65
    ope
    -0.64
    ilion
    -0.63
    uca
    -0.61
    cliffe
    -0.61
    POSITIVE LOGITS
     fit
    2.30
     fits
    0.99
    enegger
    0.94
    fit
    0.92
     Fit
    0.90
     fitted
    0.84
     unfit
    0.82
     blinded
    0.76
    istical
    0.74
    ĸļ
    0.73
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.