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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. 10-RES-JB
    6. 17923
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    Explanations

    numbers related to statistics or quantities

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to military losses or aircraft incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    iosis
    -0.80
    onite
    -0.76
     Sinclair
    -0.73
     Mania
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    fax
    -0.70
     Tycoon
    -0.70
    enegger
    -0.68
     OD
    -0.67
    é¾įå¥ij士
    -0.66
    ondo
    -0.65
    POSITIVE LOGITS
    ĭ
    0.98
    are
    0.79
    AW
    0.78
    ather
    0.78
    Are
    0.77
    aren
    0.77
    asc
    0.73
    ARE
    0.71
    Į
    0.71
    als
    0.71
    Activations Density 0.238%

    No Known Activations