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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. 8-RES-JB
    11. 23661
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    Explanations

    locations or events related to competitions or sports

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports competitions and teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    haar
    -0.89
    mr
    -0.82
    rint
    -0.81
    rogram
    -0.81
    enegger
    -0.80
    glers
    -0.78
    ecause
    -0.78
    tty
    -0.76
    rily
    -0.75
    agy
    -0.74
    POSITIVE LOGITS
    Benz
    0.94
     Palace
    0.85
     Dortmund
    0.85
     Zurich
    0.83
    Bank
    0.79
     Rouge
    0.77
     Madrid
    0.76
     Europa
    0.76
     Airways
    0.76
     Sinai
    0.75
    Activations Density 0.207%

    No Known Activations