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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. 3275
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    INDEX
    Explanations

    references to dietary habits and nutritional components related to health

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    tagHelperRunner
    -0.50
    
    -0.48
     betweenstory
    -0.46
     snippetHide
    -0.40
     Bailly
    -0.39
    COUVER
    -0.34
    Билгалдахарш
    -0.34
     taş
    -0.33
     trụ
    -0.33
    brium
    -0.31
    POSITIVE LOGITS
     diet
    2.28
    diet
    1.80
     diets
    1.80
     Diet
    1.77
    Diet
    1.71
     dieta
    1.66
     DIET
    1.49
     dietary
    1.39
     dieting
    1.15
     lifestyle
    1.14
    Activations Density 0.338%

    No Known Activations