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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. 14445
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    Explanations

    references to risk factors and health interventions related to lifestyle

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     Wikiseite
    -0.54
    Espèce
    -0.49
     Geſch
    -0.49
    Autoritní
    -0.47
    tagHelperRunner
    -0.47
     tertutup
    -0.46
     soñar
    -0.46
    gucig
    -0.45
     betweenstory
    -0.45
    agisse
    -0.45
    POSITIVE LOGITS
     lifestyle
    1.05
     Healthy
    0.95
     obesity
    0.94
    Healthy
    0.92
     prevention
    0.92
     preventive
    0.92
     Lifestyle
    0.91
     healthy
    0.89
     nutrition
    0.89
     healthier
    0.88
    Activations Density 1.163%

    No Known Activations