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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 12926
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    Explanations

    keywords related to food security and nutrition issues

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

    text discussing micronutrient deficiencies and malnutrition in developing regions.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     feuer
    -0.36
     Outsider
    -0.35
    érape
    -0.33
    trat
    -0.32
     Speed
    -0.32
    ecido
    -0.31
    UpInside
    -0.30
     Brut
    -0.30
     juridique
    -0.30
     brat
    -0.30
    POSITIVE LOGITS
     food
    1.62
    Food
    1.41
     Food
    1.41
    food
    1.38
     FOOD
    1.32
    FOOD
    1.25
     hunger
    1.22
     voedsel
    1.21
     nutrition
    1.21
     nutritional
    1.19
    Activations Density 0.300%

    No Known Activations