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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. 8-RES-JB
    11. 2184
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    Explanations

    sequences related to mathematical formulas

    oai_token-act-pair · gpt-3.5-turbo

    references to mathematical or systematic formulas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    watching
    -0.70
    atana
    -0.65
     Gri
    -0.64
    iannopoulos
    -0.63
     perspect
    -0.63
    arton
    -0.62
     [+
    -0.62
    fram
    -0.62
    wat
    -0.62
    abouts
    -0.61
    POSITIVE LOGITS
     formula
    1.07
     formulas
    1.07
    anus
    0.90
    onite
    0.77
     Formula
    0.75
    ical
    0.75
    sis
    0.75
     equations
    0.74
    rition
    0.73
    atic
    0.73
    Activations Density 0.045%

    No Known Activations