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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 4600
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    keywords related to dietary patterns and healthy eating guidelines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ElementRef
    -0.50
    تقاوى
    -0.45
    AnchorStyles
    -0.43
    Filmographie
    -0.43
    plass
    -0.42
    nande
    -0.41
     Galleries
    -0.40
     acondicionado
    -0.40
     sī
    -0.40
     subcontra
    -0.39
    POSITIVE LOGITS
     consumption
    0.99
     consuming
    0.88
     Consumption
    0.85
     consumed
    0.84
     intake
    0.83
    Consumption
    0.81
     consommation
    0.79
    consumption
    0.79
     consommer
    0.79
     foods
    0.77
    Activations Density 0.533%

    No Known Activations