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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. 7069
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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
    pard
    -0.91
    pora
    -0.81
    assetsadobe
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    llor
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    cheat
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     nomine
    -0.69
    pkg
    -0.68
     Fedora
    -0.67
    heed
    -0.67
     Libre
    -0.66
    POSITIVE LOGITS
    ãĥį
    0.70
    ourney
    0.69
    enes
    0.66
    selves
    0.65
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     Epidem
    0.63
    chance
    0.63
    ãģĭ
    0.63
    inger
    0.62
     ceremony
    0.61
    Activations Density 0.000%

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