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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 7-GEMMASCOPE-RES-16K
    6. 14139
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    topics related to dietary patterns and nutrition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Schmer
    -0.56
    matis
    -0.50
     benne
    -0.49
     Schrauben
    -0.47
     Schmid
    -0.47
     Vri
    -0.46
     Glied
    -0.45
    
    -0.45
    ́
    -0.45
     open
    -0.45
    POSITIVE LOGITS
     diet
    2.50
     Diet
    2.19
    Diet
    2.17
    diet
    2.13
     DIET
    1.96
     diets
    1.94
     dieta
    1.91
     dietary
    1.70
    Dietary
    1.49
     Dietary
    1.48
    Activations Density 0.171%

    No Known Activations