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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. 3399
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    Explanations

    medical terms related to cardiovascular risk factors

    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
    lepší
    -0.48
    发表于
    -0.46
    spesies
    -0.42
     klin
    -0.40
    XmlAccessorType
    -0.40
    mær
    -0.39
     tuot
    -0.38
    uestamente
    -0.38
    prägt
    -0.38
    træ
    -0.38
    POSITIVE LOGITS
     smoking
    0.78
     malnutrition
    0.75
     tobacco
    0.74
     vaccinations
    0.71
     Smoking
    0.70
     immunosupp
    0.69
     vaccination
    0.69
     cigarette
    0.68
     alcoholism
    0.65
     smokers
    0.63
    Activations Density 1.380%

    No Known Activations