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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. 334
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    Explanations

    names or references to specific locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations and associated events related to political or social issues

    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
    ertodd
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    orem
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    redit
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    luster
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    Ĥª
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    rint
    -0.64
    swing
    -0.63
    matic
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     Wyoming
    -0.61
    POSITIVE LOGITS
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    ============
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    éĹĺ
    0.76
    anca
    0.73
     Ara
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    ousse
    0.72
    Activations Density 0.042%

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