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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. 2538
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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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    Negative Logits
     Winn
    -0.66
    lynn
    -0.65
    otin
    -0.65
    cong
    -0.64
    chard
    -0.64
     Dover
    -0.62
     Johns
    -0.61
    clinton
    -0.61
    amn
    -0.60
    tm
    -0.60
    POSITIVE LOGITS
    /"
    0.90
    cale
    0.89
    "
    0.74
    "[
    0.73
    /?
    0.73
    "...
    0.72
     sidx
    0.71
    SPONSORED
    0.71
    arin
    0.69
    /+
    0.69
    Activations Density 0.000%

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