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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. 4-RES-JB
    11. 17076
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    Explanations

    phrases related to sports and sports statistics, particularly in the context of various leagues and their activities

    oai_token-act-pair · gpt-3.5-turbo

    references to sports leagues, teams, and related statistics

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

    No Comments

    Negative Logits
    armac
    -0.80
    opian
    -0.75
     Kurd
    -0.74
    awi
    -0.69
    bek
    -0.68
    below
    -0.67
    prise
    -0.66
    bil
    -0.62
    range
    -0.62
     strategically
    -0.61
    POSITIVE LOGITS
     Gleaming
    0.86
    interstitial
    0.79
    merce
    0.76
     leagues
    0.76
    士
    0.76
    adden
    0.74
     Freak
    0.74
    querque
    0.71
     endorsements
    0.71
     Colleg
    0.68
    Activations Density 0.285%

    No Known Activations