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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. 3-RES-JB
    11. 5926
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    fy
    -0.70
    Chest
    -0.69
     Import
    -0.67
    resso
    -0.64
    ////
    -0.63
    Enh
    -0.62
    Edit
    -0.62
     Lung
    -0.62
    gin
    -0.61
     Bethesda
    -0.61
    POSITIVE LOGITS
     redes
    0.89
    aez
    0.80
    ratulations
    0.76
    oway
    0.74
     rall
    0.74
    mares
    0.72
     withd
    0.68
    rahim
    0.67
     tremend
    0.67
    ourses
    0.66
    Activations Density 0.000%

    No Known Activations

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