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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. 8-RES-JB
    6. 3624
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    Explanations

    words related to countries and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to nations, countries, and organizations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    prem
    -0.77
    utenberg
    -0.75
    aund
    -0.71
    hai
    -0.71
     Supplemental
    -0.70
    ilon
    -0.70
    ounded
    -0.69
    ritz
    -0.69
    igers
    -0.66
    pread
    -0.65
    POSITIVE LOGITS
     whatsoever
    1.27
     imaginable
    1.24
     except
    0.96
     conceivable
    0.95
    soever
    0.90
     besides
    0.90
     anywhere
    0.86
     else
    0.81
    else
    0.81
     EVER
    0.76
    Activations Density 0.220%

    No Known Activations