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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. 8394
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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
    hower
    -0.72
    perial
    -0.72
     Consortium
    -0.70
     gloom
    -0.68
    angelo
    -0.66
    ented
    -0.63
    ÅŁ
    -0.63
     Entered
    -0.63
    ibliography
    -0.63
    itri
    -0.63
    POSITIVE LOGITS
     Generations
    0.77
    riad
    0.73
    ģĸ
    0.72
    Leod
    0.67
    PLA
    0.67
     Maher
    0.64
     Favor
    0.63
     Machines
    0.61
    product
    0.61
     Pip
    0.58
    Activations Density 0.000%

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