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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. 0-RES-JB
    11. 16821
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    Explanations

    references to technology terms, specifically related to the programming framework Ruby on Rails and the term "yarn" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to specific programming frameworks and materials related to crafting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Hyundai
    -0.69
     Malaysia
    -0.64
     Korea
    -0.64
    lement
    -0.63
     ethnic
    -0.63
     Korean
    -0.62
     Paragu
    -0.62
    atio
    -0.62
    fect
    -0.62
    Tenn
    -0.62
    POSITIVE LOGITS
     rails
    3.38
     Rails
    3.03
     rake
    1.47
    erb
    1.22
     yarn
    1.18
    rb
    1.17
    rake
    1.15
     railing
    1.02
    spring
    1.02
     ropes
    1.00
    Activations Density 0.038%

    No Known Activations