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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. 0-RES-JB
    6. 8848
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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
    iqueness
    -0.77
    fters
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    ··
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    ãĤ´ãĥ³
    -0.72
     skewed
    -0.69
    primary
    -0.69
    ¥ŀ
    -0.66
    icably
    -0.64
    secondary
    -0.63
    yssey
    -0.62
    POSITIVE LOGITS
     Pat
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     Beir
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     Patt
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    anny
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     DR
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    asia
    0.66
     Fel
    0.65
     Dare
    0.65
     Registered
    0.64
     Richie
    0.64
    Activations Density 0.000%

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