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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. 11663
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    Explanations

    words related to competition and victory, specifically focusing on winners

    oai_token-act-pair · gpt-3.5-turbo

    terms related to competitive outcomes, specifically winners and losers

    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
    clone
    -0.71
    possibly
    -0.70
     alias
    -0.70
     cleric
    -0.68
    itant
    -0.68
     comrade
    -0.67
    distance
    -0.66
    film
    -0.65
    dial
    -0.63
    alker
    -0.63
    POSITIVE LOGITS
     winners
    3.46
     losers
    2.54
     Winners
    2.47
     finalists
    1.96
     recipients
    1.83
     beneficiaries
    1.66
     nominees
    1.48
     contenders
    1.46
     prizes
    1.46
     entrants
    1.46
    Activations Density 0.033%

    No Known Activations