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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 30-GEMMASCOPE-RES-16K
    6. 12444
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    Explanations

    references to coffee and related food items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Food and beverage items

    np_acts-logits-general · gemini-2.0-flash

    food and drink contexts

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vantagem
    -0.36
     diferença
    -0.35
     AssemblyTitle
    -0.34
     sogget
    -0.33
    uario
    -0.32
    borderSide
    -0.32
     raça
    -0.31
    힌
    -0.30
    føring
    -0.30
    تقاوى
    -0.30
    POSITIVE LOGITS
     виправивши
    0.58
     المعيارى
    0.57
     flavoured
    0.55
     ContentValues
    0.54
    bread
    0.54
     BREAD
    0.54
     flavored
    0.54
     barbe
    0.54
    flavored
    0.54
     CAKE
    0.52
    Activations Density 0.297%

    No Known Activations