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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 9994
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     stake
    -0.70
     neighbour
    -0.68
     neighbours
    -0.68
     indul
    -0.63
     royalty
    -0.63
     lur
    -0.63
    azi
    -0.62
     classmate
    -0.61
     favourite
    -0.61
    Gil
    -0.61
    POSITIVE LOGITS
    ILA
    0.85
    asive
    0.80
    yrus
    0.79
    uman
    0.68
     WITHOUT
    0.68
    externalActionCode
    0.68
    enthal
    0.67
    ulus
    0.66
    haus
    0.66
     Synd
    0.65
    Activations Density 0.000%

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