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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. 2259
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    INDEX
    Explanations
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    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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    enegger
    -0.83
     Ezek
    -0.73
     horizont
    -0.73
    wikipedia
    -0.70
    urers
    -0.66
     confir
    -0.65
     TOUR
    -0.64
     Barton
    -0.63
     cryst
    -0.62
     Bunker
    -0.62
    POSITIVE LOGITS
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    0.73
    Child
    0.72
    allo
    0.71
    clude
    0.69
    leep
    0.66
    rine
    0.64
    soDeliveryDate
    0.64
    agos
    0.63
    knife
    0.62
    neau
    0.61
    Activations Density 0.000%

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