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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. 2745
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    Explanations

    yardage statistics in football, especially focusing on yards gained by players

    oai_token-act-pair · gpt-3.5-turbo

    references to yardage and statistics in sports, particularly football

    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
    eers
    -0.65
    oice
    -0.63
     psychiat
    -0.62
     Summers
    -0.62
    Phase
    -0.62
    ocrin
    -0.60
    asia
    -0.60
    izoph
    -0.59
    chrom
    -0.59
     ALP
    -0.59
    POSITIVE LOGITS
     rushing
    0.86
     rusher
    0.81
    anders
    0.78
     yards
    0.77
    acks
    0.74
    plings
    0.71
     Passing
    0.71
     Scouting
    0.71
     touchdowns
    0.70
    acking
    0.70
    Activations Density 0.017%

    No Known Activations