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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. 3-RES-JB
    11. 4583
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    Explanations

    mentions of sports teams, specifically the Arizona Cardinals

    oai_token-act-pair · gpt-3.5-turbo

    references to the Cardinals, presumably a sports team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reprene
    -0.75
    indust
    -0.73
    skirts
    -0.73
    encer
    -0.72
    auntlets
    -0.72
    lied
    -0.71
    itness
    -0.69
    fig
    -0.68
    fit
    -0.67
    bered
    -0.67
    POSITIVE LOGITS
     Cardinals
    1.15
     Seal
    0.80
     Reds
    0.75
     Slug
    0.75
     Zoo
    0.74
    aurus
    0.73
     Coyotes
    0.73
    rpm
    0.72
    inals
    0.72
     Reborn
    0.71
    Activations Density 0.004%

    No Known Activations