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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. 10-RES-JB
    11. 13982
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    Explanations

    statistics related to sports, specifically football

    oai_token-act-pair · gpt-3.5-turbo

    statistical data concerning player performance metrics in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iltr
    -0.61
    soType
    -0.61
    Introduced
    -0.60
    bys
    -0.60
    VPN
    -0.59
    ering
    -0.58
    xual
    -0.58
     Announce
    -0.57
    FML
    -0.56
    iter
    -0.55
    POSITIVE LOGITS
     touchdowns
    1.04
     touchdown
    0.79
    amina
    0.75
     131
    0.73
    letcher
    0.71
     115
    0.68
     supremacy
    0.67
     TDs
    0.67
     yards
    0.66
     129
    0.65
    Activations Density 0.033%

    No Known Activations