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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. 11-RES-JB
    11. 16412
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    Explanations

    keywords related to coding and programming, specifically related to functions and loops

    oai_token-act-pair · gpt-3.5-turbo

    programming-related syntax and keywords

    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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    No Comments

    Negative Logits
     hairc
    -0.69
    OTUS
    -0.67
     rooft
    -0.66
    âĺħâĺħ
    -0.66
    oug
    -0.63
     divor
    -0.60
    ãĤ«
    -0.59
     KN
    -0.58
    âĸĪâĸĪ
    -0.58
     Mellon
    -0.57
    POSITIVE LOGITS
    region
    1.07
    function
    1.02
    endif
    0.86
    while
    0.86
    proc
    0.85
     endif
    0.83
    local
    0.83
    quote
    0.79
    module
    0.79
    paragraph
    0.78
    Activations Density 0.056%

    No Known Activations