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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. 5-RES-JB
    6. 19404
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    symbols and formatting related to digital or online content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     dispers
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     Vaugh
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     Bengal
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     Berm
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    hetti
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    ured
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    laus
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    quel
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    rish
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    edo
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    POSITIVE LOGITS
    SOURCE
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    [[
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    MORE
    0.89
    _>
    0.88
    <<
    0.81
    wcsstore
    0.79
    QUEST
    0.78
    ¢
    0.76
    >>
    0.75
    nery
    0.74
    Activations Density 0.013%

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