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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. 1-RES-JB
    11. 427
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    INDEX
    Explanations
    No Explanations Found
    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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    No Comments

    Negative Logits
    izons
    -0.68
     anecd
    -0.66
    inka
    -0.63
    akov
    -0.63
     Vance
    -0.62
    imov
    -0.62
    ocument
    -0.61
    NZ
    -0.61
    umatic
    -0.60
    okane
    -0.59
    POSITIVE LOGITS
    76561
    0.69
     uncle
    0.64
     corpus
    0.64
     deduction
    0.64
    !--
    0.62
     cf
    0.62
     McCann
    0.62
    aceae
    0.61
    wang
    0.60
     loophole
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.