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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. 7-RES-JB
    6. 12719
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    Explanations

    references to various organizations, especially those with the word "American" in them

    oai_token-act-pair · gpt-3.5-turbo

    references to various American organizations and institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rever
    -0.77
     selfies
    -0.71
    matter
    -0.69
    ãĤ¦ãĤ¹
    -0.69
     memes
    -0.69
    reddits
    -0.68
    aturdays
    -0.68
    chwitz
    -0.68
    paces
    -0.67
    plates
    -0.67
    POSITIVE LOGITS
     Institute
    1.06
     Association
    1.03
     Bureau
    1.00
     Consumer
    1.00
     Environmental
    0.97
     Economic
    0.93
     Society
    0.89
     Department
    0.89
     Veterinary
    0.89
     Humane
    0.87
    Activations Density 0.249%

    No Known Activations