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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 19298
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    Explanations

    terms related to micronutrient deficiencies and food fortification

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

    vitamin and nutrient deficiency

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     ligiloj
    -0.40
    BorderFactory
    -0.38
    濕
    -0.36
     purpoſe
    -0.36
     Temperatura
    -0.35
     Moscou
    -0.34
    ſſel
    -0.34
     McGowan
    -0.33
    rapeau
    -0.33
    Conserv
    -0.33
    POSITIVE LOGITS
     deficiency
    1.16
     deficiencies
    1.06
     Deficiency
    1.02
     nutritional
    1.00
     deficient
    0.96
     nutrient
    0.96
     vitamin
    0.95
     nutrition
    0.94
     iron
    0.94
     Defic
    0.93
    Activations Density 0.177%

    No Known Activations