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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. 11-RES-JB
    11. 14006
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    INDEX
    Explanations

    mentions of basketball plays or game situations like scoring, leading, tying, and extending leads

    oai_token-act-pair · gpt-3.5-turbo

    key moments in a sports game

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anmar
    -0.80
    lihood
    -0.68
     retweet
    -0.66
     criticised
    -0.63
     lamb
    -0.63
    jriwal
    -0.62
    ngth
    -0.61
     mocked
    -0.59
     ridiculed
    -0.59
     ply
    -0.59
    POSITIVE LOGITS
     halftime
    0.87
     midway
    0.81
     deficit
    0.69
    goal
    0.68
    score
    0.67
    ixty
    0.65
     lead
    0.65
     insur
    0.62
    gap
    0.61
     heading
    0.61
    Activations Density 0.102%

    No Known Activations