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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 12758
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    Explanations

    specific terms or phrases related to various topics such as systems, legal matters, fire, weather, sales, social issues, financial issues, business, monsters, and more

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to various categories such as systems, legal issues, and scientific concepts

    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
    enegger
    -0.69
    代
    -0.67
     Vaugh
    -0.61
     toget
    -0.61
    _.
    -0.60
    terday
    -0.58
    $.
    -0.58
     disg
    -0.58
     withd
    -0.57
    antage
    -0.57
    POSITIVE LOGITS
     Rates
    0.86
     Comparison
    0.85
     Description
    0.79
     Finder
    0.78
     Rankings
    0.78
     Album
    0.77
     Summary
    0.77
     Locations
    0.77
     Overview
    0.77
     Requirements
    0.76
    Activations Density 0.448%

    No Known Activations