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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. 7850
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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
    wcsstore
    -0.69
    hw
    -0.67
     aver
    -0.66
     Monarch
    -0.64
     advoc
    -0.63
    undown
    -0.62
     trimmed
    -0.60
     Negro
    -0.59
     diverted
    -0.59
     aux
    -0.59
    POSITIVE LOGITS
    herty
    0.93
    ËĪ
    0.79
     STATS
    0.72
    ILS
    0.72
    llah
    0.69
    ijk
    0.68
    ynthesis
    0.67
    ile
    0.67
    otide
    0.66
    $.
    0.66
    Activations Density 0.000%

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