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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. 23690
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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 football team

    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
    akia
    -0.86
    ting
    -0.85
    WHERE
    -0.78
    microsoft
    -0.76
    ults
    -0.75
    angular
    -0.72
    oslav
    -0.72
    manent
    -0.72
    uated
    -0.70
    ted
    -0.68
    POSITIVE LOGITS
     Packers
    0.97
     Rodgers
    0.86
     Fav
    0.75
     Yards
    0.73
    fruit
    0.71
    esis
    0.71
    aday
    0.69
    CRIP
    0.68
     Polo
    0.68
    mith
    0.67
    Activations Density 0.043%

    No Known Activations