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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. 1-RES-JB
    11. 3633
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    Explanations

    references to the sport of American football

    oai_token-act-pair · gpt-3.5-turbo

    mentions of football

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utter
    -0.75
     Ples
    -0.73
    EStream
    -0.68
     Nas
    -0.65
    PROV
    -0.65
    prop
    -0.64
     Dyn
    -0.64
    PsyNetMessage
    -0.63
    UTC
    -0.63
    semb
    -0.63
    POSITIVE LOGITS
     football
    1.13
     stadiums
    0.98
    matically
    0.96
    Football
    0.92
    sburg
    0.89
     Football
    0.87
     stadium
    0.86
     footballer
    0.85
    club
    0.84
    matical
    0.83
    Activations Density 0.016%

    No Known Activations