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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. 7-RES-JB
    11. 3940
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    Explanations

    numerical information related to sports, specifically games played and performance statistics

    oai_token-act-pair · gpt-3.5-turbo

    references to the number of games played or mentioned

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ges
    -0.72
    200000
    -0.70
     politic
    -0.68
    yg
    -0.68
    icators
    -0.63
    emer
    -0.62
    ksh
    -0.59
    something
    -0.58
    eton
    -0.58
     Alternative
    -0.58
    POSITIVE LOGITS
     Played
    0.90
     played
    0.86
     apiece
    0.82
     unbeaten
    0.82
     Ago
    0.77
    manship
    0.75
     opener
    0.70
     expectancy
    0.70
    keepers
    0.69
     Ended
    0.66
    Activations Density 0.044%

    No Known Activations