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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. 10-RES-JB
    11. 12906
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    Explanations

    mentions related to sports events, locations, and players

    oai_token-act-pair · gpt-3.5-turbo

    specific events related to sports, particularly games and player introductions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Scroll
    -0.68
    å£
    -0.68
     suprem
    -0.67
     fortnight
    -0.67
    Lie
    -0.65
    £ı
    -0.62
    76561
    -0.62
    anmar
    -0.61
    shire
    -0.61
     lieutenant
    -0.59
    POSITIVE LOGITS
     Mandatory
    0.99
     STATS
    0.79
     PHI
    0.70
    aneers
    0.69
     preseason
    0.68
     Auburn
    0.67
     TEAM
    0.64
    Thumbnail
    0.64
     Team
    0.64
     teammates
    0.64
    Activations Density 0.076%

    No Known Activations