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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. 11-RES-JB
    6. 4725
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    Explanations

    references to business operations and decision-making, including actions by employees, shareholders, and CEOs

    oai_token-act-pair · gpt-3.5-turbo

    references to corporate responsibility and accountability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rez
    -1.03
     Granger
    -0.87
     Rohing
    -0.83
    Ä
    -0.75
    gypt
    -0.74
    Mods
    -0.74
    Redditor
    -0.74
    ieval
    -0.71
    ravel
    -0.70
    ļé
    -0.70
    POSITIVE LOGITS
     shareholders
    2.07
     CEOs
    2.03
     shareholder
    1.96
    Companies
    1.86
     Corporate
    1.82
     corporations
    1.77
     corporate
    1.76
    CEO
    1.75
     corporation
    1.75
     CEO
    1.70
    Activations Density 0.606%

    No Known Activations