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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. 2757
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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
    ologically
    -0.73
     nep
    -0.70
     Pok
    -0.67
    matical
    -0.66
     Clapper
    -0.63
    cknow
    -0.62
     Zhu
    -0.62
    ++++
    -0.62
    oh
    -0.62
    uph
    -0.62
    POSITIVE LOGITS
     plans
    1.35
     London
    0.93
     Plans
    0.87
    London
    0.74
     coasts
    0.71
    ONDON
    0.68
    atorium
    0.67
    eston
    0.67
     proposals
    0.67
     hopes
    0.67
    Activations Density 0.000%

    No Known Activations

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