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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. 10496
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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
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    No Comments

    Negative Logits
    Sund
    -0.77
    çĦ
    -0.68
    destruct
    -0.68
     charism
    -0.68
    Sah
    -0.65
     Sov
    -0.65
    ç¥ŀ
    -0.63
    ...)
    -0.62
    agy
    -0.61
    IFE
    -0.60
    POSITIVE LOGITS
    Primary
    0.75
     covers
    0.67
    rocal
    0.63
    ounces
    0.62
     Done
    0.61
    oshenko
    0.61
    iries
    0.60
    heads
    0.58
    uggle
    0.58
    oil
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.