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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. 9-RES-JB
    11. 7112
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    Explanations

    descriptions related to sports events

    oai_token-act-pair · gpt-3.5-turbo

    references to sports statistics and scoring events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Companies
    -0.82
    enegger
    -0.82
    AFTA
    -0.77
     concess
    -0.77
     consultancy
    -0.77
    reprene
    -0.77
     unemploy
    -0.76
     aug
    -0.73
     LinkedIn
    -0.73
     paed
    -0.73
    POSITIVE LOGITS
     offensively
    1.12
     defensively
    1.07
     halftime
    1.04
     turnovers
    1.01
    defense
    0.89
     offense
    0.87
     defense
    0.86
     scoreboard
    0.86
     scrimmage
    0.86
     Offense
    0.83
    Activations Density 0.304%

    No Known Activations