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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. 12846
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    Explanations

    parentheses in function calls

    oai_token-act-pair · gpt-3.5-turbo

    function calls within programming code

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    stal
    -0.84
    manship
    -0.77
    liness
    -0.75
    ça
    -0.74
    lette
    -0.71
    azine
    -0.67
    cone
    -0.67
    bred
    -0.65
     Nanto
    -0.65
    wo
    -0.64
    POSITIVE LOGITS
     method
    0.85
     {}
    0.79
     payable
    0.77
    #$
    0.75
     function
    0.72
     ->
    0.71
     async
    0.68
     callback
    0.68
    {"
    0.67
     methods
    0.67
    Activations Density 0.029%

    No Known Activations