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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. 10-RES-JB
    6. 4149
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SourceFile
    -0.75
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.72
    forth
    -0.69
     Wonderland
    -0.66
    liest
    -0.61
     Dominion
    -0.59
    rawdownloadcloneembedreportprint
    -0.58
     Predator
    -0.58
     confidentiality
    -0.57
     Lanc
    -0.56
    POSITIVE LOGITS
    agin
    0.78
    oslav
    0.73
    kov
    0.68
    ugi
    0.68
    rir
    0.67
    ν
    0.67
    icky
    0.67
    anka
    0.67
    atile
    0.66
    kees
    0.66
    Activations Density 0.084%

    No Known Activations