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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. 9-RES-JB
    6. 18904
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    Explanations

    names of specific places or institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to specific institutions, locations, and professional contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    rencies
    -0.71
     vot
    -0.61
     validity
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    morrow
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     defin
    -0.58
    reek
    -0.56
    Weak
    -0.56
     Recommend
    -0.56
    currently
    -0.55
    Item
    -0.54
    POSITIVE LOGITS
     helm
    0.93
     stint
    0.90
     firsthand
    0.83
     obscurity
    0.71
    ukemia
    0.71
    orld
    0.70
     navigating
    0.70
     volunteering
    0.69
    anship
    0.69
     spotlight
    0.69
    Activations Density 0.371%

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