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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. 1-RES-JB
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    Explanations

    references to "Saints," particularly in a sports-related context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Saints" football team and related context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PsyNetMessage
    -0.94
    enegger
    -0.88
    raltar
    -0.74
    inventoryQuantity
    -0.72
     Farn
    -0.72
    utherford
    -0.69
    realDonaldTrump
    -0.68
    remlin
    -0.68
    PRES
    -0.67
    ERC
    -0.67
    POSITIVE LOGITS
     Saints
    1.55
     saints
    0.84
    pring
    0.83
    aints
    0.80
     contrace
    0.78
     Crusade
    0.73
     Skydragon
    0.72
    gear
    0.72
     lineback
    0.71
     Pelicans
    0.71
    Activations Density 0.005%

    No Known Activations