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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. 6158
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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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    swick
    -0.69
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    ativity
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    orf
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    lde
    -0.66
    MET
    -0.66
    Interstitial
    -0.64
    inges
    -0.64
    yne
    -0.64
    nesday
    -0.64
    POSITIVE LOGITS
     PowerPoint
    0.76
     Bullets
    0.71
     Fool
    0.68
    aspers
    0.67
    cl
    0.61
    ++)
    0.61
     Solitaire
    0.60
     Philip
    0.57
    :
    0.57
    Reader
    0.57
    Activations Density 0.000%

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