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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. 14665
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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
    mobi
    -0.74
    ĺħ
    -0.73
    terson
    -0.71
    property
    -0.71
    adata
    -0.71
    framework
    -0.70
    EStream
    -0.69
    wx
    -0.69
    artifacts
    -0.69
    ĸļ
    -0.68
    POSITIVE LOGITS
    ¨
    0.69
    âĢ
    0.68
     à¨
    0.67
    âĢİ
    0.65
    MORE
    0.64
    plate
    0.64
     Dwell
    0.63
    READ
    0.62
    AH
    0.62
     Raf
    0.62
    Activations Density 0.000%

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