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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. 1-RES-JB
    11. 21447
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    Explanations

    parts of code or data formats

    oai_token-act-pair · gpt-3.5-turbo

    structured data elements and JSON formatting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    urance
    -0.77
    WARD
    -0.74
    othe
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    verse
    -0.68
    earchers
    -0.67
    gaard
    -0.65
     Que
    -0.62
    wal
    -0.62
    clerosis
    -0.62
    mire
    -0.60
    POSITIVE LOGITS
    ":["
    1.04
    ricanes
    0.90
    EStream
    0.87
    icago
    0.85
    ãĥĺãĥ©
    0.80
    rawdownloadcloneembedreportprint
    0.79
    foreseen
    0.79
     Liberties
    0.76
    >[
    0.76
    awar
    0.75
    Activations Density 0.016%

    No Known Activations