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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. 7427
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    Explanations

    references to the Green Bay Packers football team

    oai_token-act-pair · gpt-3.5-turbo

    references to the Green Bay Packers and their games

    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
    nces
    -0.87
    ancies
    -0.84
    nce
    -0.79
    rators
    -0.75
    itia
    -0.72
    ting
    -0.72
    rained
    -0.72
    WHERE
    -0.71
    akia
    -0.71
    ted
    -0.70
    POSITIVE LOGITS
     Packers
    1.10
    士
    0.87
    mith
    0.85
    fruit
    0.74
     Jackets
    0.74
     Stadium
    0.73
     Rodgers
    0.72
    haw
    0.69
     Vikings
    0.69
     Raiders
    0.66
    Activations Density 0.004%

    No Known Activations