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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. 7844
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    Explanations

    names of sports teams, cities, and venues

    oai_token-act-pair · gpt-3.5-turbo

    team names and sports-related references

    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
    enegger
    -0.94
    mining
    -0.77
    iaries
    -0.73
     aisle
    -0.73
    ographies
    -0.72
     plur
    -0.71
    mine
    -0.70
    inates
    -0.69
    oros
    -0.68
    ibliography
    -0.67
    POSITIVE LOGITS
     teammate
    1.10
     Wolves
    1.05
     Athletic
    1.04
     Tigers
    0.95
     Chiefs
    0.92
     relegation
    0.89
     FC
    0.89
     Lions
    0.89
     Athletics
    0.88
     Sporting
    0.85
    Activations Density 0.167%

    No Known Activations