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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. 2-RES-JB
    11. 6061
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    Explanations

    keywords related to the Indianapolis Car category

    oai_token-act-pair · gpt-3.5-turbo

    references to the IndyCar racing series

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gleaming
    -0.88
    aunder
    -0.80
    istics
    -0.77
    aceous
    -0.77
    owers
    -0.73
    interstitial
    -0.72
    ILA
    -0.71
    utenberg
    -0.70
    orative
    -0.69
    onyms
    -0.67
    POSITIVE LOGITS
     Indy
    1.11
     Eleven
    0.98
     Pacers
    0.79
    apolis
    0.75
     Pole
    0.74
    Ind
    0.73
     Colts
    0.72
     Lights
    0.70
    Car
    0.70
     Races
    0.68
    Activations Density 0.006%

    No Known Activations