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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 7896
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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
    aeda
    -0.88
    arte
    -0.78
    vine
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     Kamp
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    abe
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    ={
    -0.67
    ande
    -0.67
    ihara
    -0.66
     Lanc
    -0.66
     Kod
    -0.64
    POSITIVE LOGITS
    agogue
    0.68
     nodd
    0.66
     Sabbath
    0.66
     contradictory
    0.65
     accommodations
    0.63
     toile
    0.62
     scripture
    0.61
    £ı
    0.60
    .>>
    0.59
     inline
    0.59
    Activations Density 0.000%

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