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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. 7-RES-JB
    11. 3870
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    Explanations

    references to football teams, specifically the Green Bay Packers

    oai_token-act-pair · gpt-3.5-turbo

    references to the Green Bay Packers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rained
    -0.82
    akia
    -0.79
    ting
    -0.79
    ults
    -0.77
    ancies
    -0.76
    angular
    -0.75
    microsoft
    -0.73
    rators
    -0.73
    WHERE
    -0.73
    itia
    -0.71
    POSITIVE LOGITS
     Packers
    1.12
     Rodgers
    0.77
    士
    0.76
     Jackets
    0.74
     Fav
    0.71
    fruit
    0.71
    mith
    0.69
     Vikings
    0.68
     Ranger
    0.67
     Yards
    0.66
    Activations Density 0.020%

    No Known Activations