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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 5756
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    Explanations

    specific medical terminology related to cardiovascular risk factors and their associations with various diseases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Follows commas or common conjunctions (and, like, of)

    np_acts-logits-general · gemini-2.0-flash

    medical conditions and exposures

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    发表于
    -0.41
     против
    -0.36
    ML
    -0.33
    homonymie
    -0.32
     ML
    -0.32
    calypse
    -0.32
     EnglishChoose
    -0.31
    oltà
    -0.31
     yerine
    -0.31
    speech
    -0.31
    POSITIVE LOGITS
    findpost
    0.73
     stressors
    0.64
     tobacco
    0.62
     exposure
    0.61
     stressful
    0.60
    TagMode
    0.57
     malnutrition
    0.57
     stress
    0.57
     exposures
    0.56
     trauma
    0.56
    Activations Density 0.830%

    No Known Activations