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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. 2-RES-JB
    11. 7073
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    Explanations

    , analyze, or describe actions related to passing the ball in a sports context

    oai_token-act-pair · gpt-3.5-turbo

    references to passing plays in football

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gent
    -0.79
    sett
    -0.70
    aples
    -0.69
    san
    -0.68
    DragonMagazine
    -0.65
     Austral
    -0.65
     ABS
    -0.65
     GOODMAN
    -0.64
     hem
    -0.64
     Pyr
    -0.62
    POSITIVE LOGITS
     rusher
    0.90
    yards
    0.83
     touchdown
    0.83
     touchdowns
    0.82
     receptions
    0.80
     catcher
    0.76
    ettes
    0.76
    iola
    0.75
     batted
    0.73
     yards
    0.72
    Activations Density 0.038%

    No Known Activations