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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. 0-RES-JB
    11. 18973
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    INDEX
    Explanations

    mentions of sports players

    oai_token-act-pair · gpt-3.5-turbo

    references to players, particularly in the context of sports or gaming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utterstock
    -0.79
    amazon
    -0.73
    Bloomberg
    -0.70
     Shutterstock
    -0.68
    mares
    -0.67
    Fax
    -0.67
    paces
    -0.67
     Norton
    -0.65
     Heidi
    -0.63
    alam
    -0.62
    POSITIVE LOGITS
     player
    3.67
    player
    2.85
     Player
    2.68
     players
    2.56
    Player
    2.39
    Players
    2.35
     Players
    2.33
    players
    2.15
     PLAY
    1.61
     footballer
    1.60
    Activations Density 0.023%

    No Known Activations