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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. 6797
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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
    gang
    -0.77
    rock
    -0.67
    rir
    -0.66
    rev
    -0.64
    Wi
    -0.63
    ongyang
    -0.63
    adish
    -0.62
    Wil
    -0.61
    hedon
    -0.61
     Gutenberg
    -0.61
    POSITIVE LOGITS
    cius
    0.68
     Lauder
    0.67
    ciating
    0.64
    cific
    0.61
    nell
    0.61
    foundland
    0.61
     Atmosp
    0.61
     ATI
    0.61
     Dumb
    0.60
     obscure
    0.59
    Activations Density 0.000%

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