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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
    11. 13168
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    Explanations

    references to the NFL (National Football League)

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the NFL or its related entities

    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
    -0.89
    ablishment
    -0.77
    EStream
    -0.77
    terday
    -0.76
    orative
    -0.75
    minded
    -0.69
    andra
    -0.69
    akin
    -0.68
    module
    -0.68
    being
    -0.67
    POSITIVE LOGITS
    PA
    0.95
    NFL
    0.93
     Scouting
    0.88
     NFL
    0.85
    Sports
    0.82
     football
    0.81
    Football
    0.78
     Soccer
    0.78
     stadiums
    0.78
     antitrust
    0.78
    Activations Density 0.015%

    No Known Activations