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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. 12-RES-JB
    11. 5069
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    Explanations

    sports-related terms and information, especially related to football and basketball

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    reference to various sports, particularly focusing on football

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Fiscal
    -0.69
     Bike
    -0.65
    ago
    -0.65
    anu
    -0.64
    ulic
    -0.63
     Polk
    -0.62
     Heist
    -0.62
     Canal
    -0.61
     Cheong
    -0.60
    TOP
    -0.60
    POSITIVE LOGITS
    ing
    0.81
     stadiums
    0.78
    players
    0.78
     operations
    0.77
    fights
    0.77
    reference
    0.74
     players
    0.73
    s
    0.73
     player
    0.72
     analytics
    0.71
    Activations Density 0.054%

    No Known Activations