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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 23493
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    Explanations

    important historical dates and figures

    oai_token-act-pair · gpt-3.5-turbo

    sequences of numerical data and dates

    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
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    Negative Logits
    authorized
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    acted
    -0.66
     gratification
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    uca
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    hetically
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    wp
    -0.58
    lest
    -0.57
    atively
    -0.57
     artisan
    -0.56
    matically
    -0.56
    POSITIVE LOGITS
     Reserved
    0.77
    cffff
    0.70
     Relations
    0.70
    displayText
    0.69
    姫
    0.67
    NRS
    0.66
    ©¶æ
    0.65
    depending
    0.63
     [*]
    0.63
     alike
    0.62
    Activations Density 0.175%

    No Known Activations