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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. 4-RES-JB
    11. 7575
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    Explanations

    terms related to American football

    oai_token-act-pair · gpt-3.5-turbo

    references to the sport of football

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

    No Comments

    Negative Logits
    EStream
    -0.84
    utter
    -0.76
     Ples
    -0.70
     Nas
    -0.68
    PsyNetMessage
    -0.67
    UTC
    -0.67
    aft
    -0.67
    REM
    -0.66
    ittees
    -0.66
    rans
    -0.66
    POSITIVE LOGITS
     stadiums
    0.87
     football
    0.83
     clubs
    0.79
    matically
    0.78
    sburg
    0.76
     club
    0.74
    club
    0.74
     academy
    0.73
    mania
    0.72
    matical
    0.71
    Activations Density 0.014%

    No Known Activations