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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. 11-RES-JB
    6. 12384
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    INDEX
    Explanations

    names of organizations and institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to specific entities and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     deaf
    -0.67
    ittered
    -0.65
    \":
    -0.63
     unex
    -0.63
     answ
    -0.61
     perenn
    -0.61
     rejo
    -0.61
     favorably
    -0.61
     unrecogn
    -0.61
     proble
    -0.60
    POSITIVE LOGITS
     Flickr
    1.02
    ./
    1.01
     via
    1.00
     Photograph
    0.99
    / 
    0.97
    /
    0.97
     Shutterstock
    0.96
     Courtesy
    0.94
     Caption
    0.93
     Image
    0.92
    Activations Density 0.105%

    No Known Activations