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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. 8228
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    Explanations

    statistics related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    numerical performance statistics related to games and scoring

    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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    No Comments

    Negative Logits
    ensis
    -0.66
     Poster
    -0.64
    cially
    -0.63
    street
    -0.62
    Ward
    -0.61
    affer
    -0.61
     Gupta
    -0.59
    Choice
    -0.59
    vier
    -0.59
    onym
    -0.59
    POSITIVE LOGITS
     overtime
    0.78
     outings
    0.76
     victories
    0.76
     consecutive
    0.76
    iesta
    0.73
    aneers
    0.69
     unison
    0.69
     defeating
    0.68
    phies
    0.68
     games
    0.67
    Activations Density 0.089%

    No Known Activations