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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. 9-RES-JB
    11. 5048
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    Explanations

    references to notable historical events or entities

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĥãĥī
    -0.81
    istically
    -0.81
    ipel
    -0.76
    xtap
    -0.62
    kered
    -0.62
    depend
    -0.61
    fold
    -0.60
    inis
    -0.60
    inav
    -0.59
    necess
    -0.59
    POSITIVE LOGITS
     of
    0.87
     thereof
    0.86
    .''.
    0.83
     OF
    0.68
    .(
    0.66
     involving
    0.63
     Regarding
    0.61
     linking
    0.60
    .[
    0.60
     Of
    0.59
    Activations Density 0.713%

    No Known Activations