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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. 5168
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    INDEX
    Explanations

    specific numerical patterns and measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to time, particularly years and percentages

    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
    ument
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    ensibly
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    acre
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    esse
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    esc
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    enium
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    aminer
    -0.68
    uberty
    -0.66
    rison
    -0.64
    ropri
    -0.63
    POSITIVE LOGITS
     Oral
    0.68
     Aer
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     Pharaoh
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    Amount
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    aints
    0.65
     Kart
    0.62
    terms
    0.62
     Azerb
    0.62
     Kuala
    0.61
     flights
    0.61
    Activations Density 0.062%

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