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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. 16816
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    Explanations

    references to sports teams, particularly Detroit-based teams like the Lions and Tigers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Detroit sports teams

    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
    mble
    -0.90
     Seym
    -0.90
    yip
    -0.90
    thood
    -0.87
    mares
    -0.85
    ntil
    -0.85
    terday
    -0.84
    sembly
    -0.83
    creen
    -0.83
    rar
    -0.81
    POSITIVE LOGITS
    shire
    1.13
     Pistons
    1.08
     Lions
    0.94
     Tigers
    0.93
     Mercy
    0.79
    scape
    0.72
    ford
    0.70
    ers
    0.70
     Township
    0.69
    enburg
    0.69
    Activations Density 0.036%

    No Known Activations