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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 10900
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    semicolon usage in programming syntax

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     artesanía
    -0.39
     conformidad
    -0.38
     niebla
    -0.37
     bricolaje
    -0.37
     exploración
    -0.34
     venezolano
    -0.32
     arcilla
    -0.32
     manifestación
    -0.32
     explotación
    -0.31
     reparación
    -0.31
    POSITIVE LOGITS
    Vidite
    1.02
     للاسماء
    0.98
     autorytatywna
    0.95
     وتسجيلات
    0.90
    存于互联网档案馆
    0.89
     nahilalakip
    0.87
    Portail
    0.82
    Geplaatst
    0.82
    تقاوى
    0.81
    NameInMap
    0.81
    Activations Density 0.271%

    No Known Activations