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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. 23231
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    Explanations

    names in the context of sports, particularly football

    oai_token-act-pair · gpt-3.5-turbo

    the mentions of specific individuals, particularly those associated with sports and coaching

    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
    guard
    -0.87
    76561
    -0.86
    guards
    -0.75
    llor
    -0.73
     Pers
    -0.71
    ayne
    -0.70
    uct
    -0.70
    imir
    -0.70
    warm
    -0.70
    cause
    -0.68
    POSITIVE LOGITS
    cloth
    0.76
    ufact
    0.76
    baugh
    0.73
     Shanahan
    0.72
    etz
    0.69
    zynski
    0.68
     executive
    0.68
    ursed
    0.67
     grounds
    0.66
     SPORTS
    0.64
    Activations Density 0.014%

    No Known Activations