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    3. Gemma-2-2B
    5. 19-GEMMASCOPE-TRANSCODER-16K
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    this neuron seems to activate on filler words from different parts of speech, suggesting it may be finding transitions

    oai_token-act-pair · gemini-2.0-flash

    food and religion

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_19/width_16k/average_l0_12
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
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    Negative Logits
    BeginContext
    -0.65
     للاسماء
    -0.59
    NewUrlParser
    -0.54
    tagHelperRunner
    -0.54
    writeField
    -0.54
     itſelf
    -0.53
    ContentAsync
    -0.53
    UniformLocation
    -0.52
     podium
    -0.52
     Werth
    -0.52
    POSITIVE LOGITS
     double
    0.59
     gluten
    0.56
     multi
    0.53
     Gluten
    0.52
    double
    0.52
     non
    0.52
     Halal
    0.52
     NgModule
    0.50
     Double
    0.47
     Multi
    0.47
    Activations Density 2.177%

    No Known Activations