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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. 6449
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    Explanations

    references to sports teams, specifically the Indianapolis Colts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Indianapolis Colts and associated locations or events

    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
    geon
    -0.83
    rite
    -0.82
    olog
    -0.81
    gypt
    -0.75
    shock
    -0.72
    rer
    -0.71
    hunter
    -0.70
    yip
    -0.70
    pez
    -0.70
    gradient
    -0.68
    POSITIVE LOGITS
     Colts
    0.99
    ments
    0.83
    urations
    0.83
    iveness
    0.76
    ENTION
    0.74
    urated
    0.73
    uration
    0.73
    ippi
    0.68
     Takeru
    0.68
    ansion
    0.68
    Activations Density 0.104%

    No Known Activations