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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. 2926
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    Explanations

    references to American football teams, specifically the Seattle Seahawks

    oai_token-act-pair · gpt-3.5-turbo

    references to the Seattle Seahawks football team

    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
    cki
    -0.79
    aciously
    -0.74
    idges
    -0.72
    xes
    -0.70
    venants
    -0.69
    ogyn
    -0.68
     impulse
    -0.68
    ctions
    -0.67
    uses
    -0.67
    information
    -0.66
    POSITIVE LOGITS
    nuts
    0.81
    manship
    0.78
    nut
    0.78
     Sounders
    0.78
    dar
    0.77
    worth
    0.76
    mare
    0.75
    sburg
    0.74
    intosh
    0.74
    ontent
    0.73
    Activations Density 0.056%

    No Known Activations