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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 9576
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    INDEX
    Explanations

    phrases related to pioneers, leaders in industries, and groundbreaking moments

    oai_token-act-pair · gpt-3.5-turbo

    mentions of influential figures and entities in the entertainment and technology industries

    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
    ptoms
    -0.77
    isSpecialOrderable
    -0.75
     mouths
    -0.68
    vious
    -0.67
    ulia
    -0.67
    bishop
    -0.66
    emies
    -0.65
    gments
    -0.65
    utan
    -0.64
    uyomi
    -0.64
    POSITIVE LOGITS
     automotive
    0.95
     innovation
    0.94
     aviation
    0.94
     eSports
    0.91
     gaming
    0.90
     vaping
    0.89
     robotics
    0.86
     esports
    0.86
     filmmaking
    0.85
     aerospace
    0.83
    Activations Density 0.450%

    No Known Activations