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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. 7-RES-JB
    11. 21371
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    Explanations

    players and teams in the context of sports, particularly soccer

    oai_token-act-pair · gpt-3.5-turbo

    references to specific events or player transfers in sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ń·
    -0.91
    ertodd
    -0.85
     ALEC
    -0.83
     nonviolent
    -0.77
     behaviors
    -0.75
     behavior
    -0.73
     nonprofits
    -0.73
    uters
    -0.72
    uph
    -0.71
     Cindy
    -0.70
    POSITIVE LOGITS
    Liverpool
    1.17
    England
    1.11
    Football
    1.08
    Players
    1.08
    Coach
    1.05
    Sport
    1.04
     Leicester
    1.04
     Sunderland
    1.03
    Arsenal
    1.00
    Tickets
    0.99
    Activations Density 0.269%

    No Known Activations