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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. 9381
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    Explanations

    mentions of sports tournaments, specifically the "Cup"

    oai_token-act-pair · gpt-3.5-turbo

    references to various championship cups in sports

    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
    sbm
    -0.78
    SPONSORED
    -0.77
    PATH
    -0.76
    terday
    -0.75
     obser
    -0.75
    echo
    -0.73
    perse
    -0.71
    izabeth
    -0.69
    ãĤ°
    -0.68
    Bey
    -0.68
    POSITIVE LOGITS
    cakes
    1.16
    cake
    1.12
     Playoff
    1.05
     Cup
    1.01
     Playoffs
    0.94
     Winners
    0.91
     Cups
    0.85
     Finals
    0.82
     Series
    0.80
    cup
    0.78
    Activations Density 0.012%

    No Known Activations