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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. 6-RES-JB
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    Explanations

    text related to sports, specifically mentions of "Sports" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Sports."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ered
    -0.79
     miscar
    -0.77
    ĺħ
    -0.73
     ALP
    -0.70
    ipop
    -0.70
    ipolar
    -0.69
     poppy
    -0.69
    wcs
    -0.69
    erella
    -0.69
     miscarriage
    -0.68
    POSITIVE LOGITS
     Sports
    0.84
     Analytics
    0.82
     Entertainment
    0.78
     Illustrated
    0.77
    Sport
    0.76
    coon
    0.76
    Fit
    0.75
    ESPN
    0.74
    Center
    0.73
     Rivals
    0.72
    Activations Density 0.015%

    No Known Activations