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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. 0-RES-JB
    6. 11362
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    INDEX
    Explanations
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    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
    physical
    -0.75
    ãĥ³ãĤ¸
    -0.71
    arb
    -0.70
    ãĥª
    -0.69
    ãĤ¤ãĥĪ
    -0.69
     Kahn
    -0.68
    sed
    -0.65
    RPG
    -0.65
    ãĥ´ãĤ¡
    -0.64
     Agg
    -0.64
    POSITIVE LOGITS
    letters
    0.74
     lapt
    0.74
     ado
    0.68
     millenn
    0.68
    reader
    0.67
     unlaw
    0.66
     inconsist
    0.66
     blat
    0.66
     GOODMAN
    0.64
     specificity
    0.63
    Activations Density 0.000%

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