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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. 21775
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    INDEX
    Explanations

    phrases related to winning and competition

    oai_token-act-pair · gpt-3.5-turbo

    references to a "winner" in various contexts

    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
    uli
    -0.77
    uku
    -0.71
    ugu
    -0.71
    era
    -0.69
    uras
    -0.68
    elled
    -0.68
    rients
    -0.67
    ria
    -0.67
    etimes
    -0.67
    aeda
    -0.67
    POSITIVE LOGITS
     winner
    1.35
     Winner
    1.24
    Winner
    1.23
     winners
    1.05
     loser
    1.03
     contestant
    1.00
     laureate
    0.96
    winner
    0.84
     WIN
    0.83
     Winners
    0.83
    Activations Density 0.013%

    No Known Activations