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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. 2503
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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
    rolled
    -0.80
     millenn
    -0.76
     Mehran
    -0.73
    neau
    -0.72
     Crusade
    -0.70
     Lei
    -0.70
    yip
    -0.69
    cyclopedia
    -0.68
     tradem
    -0.67
    urated
    -0.66
    POSITIVE LOGITS
    >>>>
    0.64
    âĸ
    0.64
    ilty
    0.63
    ·
    0.63
     unborn
    0.62
     fugitive
    0.61
    00007
    0.61
    axis
    0.60
     Symphony
    0.60
    OY
    0.59
    Activations Density 0.000%

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