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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. 1-RES-JB
    6. 16559
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    Explanations

    words related to specific topics or categories, potentially related to health, technology, and community

    oai_token-act-pair · gpt-3.5-turbo

    the word "For" with varying contexts indicating lists or introductions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.71
    Zen
    -0.63
    æĺ¯
    -0.60
    soDeliveryDate
    -0.60
    illin
    -0.60
    inese
    -0.59
    >"
    -0.58
    EStreamFrame
    -0.58
    $.
    -0.57
    Introduced
    -0.57
    POSITIVE LOGITS
    gotten
    1.37
    bidden
    1.32
    cing
    1.28
     example
    1.22
    ced
    1.14
     instance
    1.11
    WARD
    1.07
    gery
    1.05
    give
    1.00
    wards
    0.98
    Activations Density 0.105%

    No Known Activations