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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. 9-RES-JB
    11. 9885
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    Explanations

    references related to the city of Detroit

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Detroit" and its associated sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mble
    -0.97
    ntil
    -0.88
    thood
    -0.88
    yip
    -0.87
    sembly
    -0.85
     Seym
    -0.85
    ylum
    -0.85
    creen
    -0.81
    terday
    -0.80
    mares
    -0.80
    POSITIVE LOGITS
     Pistons
    1.23
    shire
    1.11
     Lions
    1.08
     Tigers
    1.05
     Mercy
    0.92
     Township
    0.75
    ford
    0.74
     Hills
    0.71
     Diesel
    0.70
     Wolver
    0.68
    Activations Density 0.036%

    No Known Activations