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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. 9-RES-JB
    11. 14043
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    Explanations

    functions and programming-related syntax, potentially related to a specific programming language

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of function call syntax in programming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    stal
    -0.99
    meat
    -0.82
    liner
    -0.80
    flame
    -0.77
    liness
    -0.75
    ties
    -0.75
    sea
    -0.74
    mong
    -0.73
    manship
    -0.72
    lust
    -0.71
    POSITIVE LOGITS
     externalToEVAOnly
    0.81
    ){
    0.76
     {"
    0.76
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.75
     {}
    0.74
    eor
    0.73
     async
    0.71
    ->
    0.70
     {
    0.68
    [_
    0.68
    Activations Density 0.029%

    No Known Activations