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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. 16325
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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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    Negative Logits
     Sabbath
    -0.73
    WAR
    -0.72
    Sov
    -0.72
    phabet
    -0.71
    zai
    -0.70
    MJ
    -0.65
     Schwar
    -0.63
     Lutheran
    -0.62
    Lay
    -0.62
    cellaneous
    -0.61
    POSITIVE LOGITS
    obyl
    0.92
    onse
    0.86
    arbon
    0.74
    OA
    0.71
    starter
    0.70
    ometers
    0.70
     headlights
    0.69
    schild
    0.68
    oÄŁ
    0.66
    onga
    0.66
    Activations Density 0.000%

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