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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 12678
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    Explanations

    terms related to medical contexts and professions

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

    Follows the word "medical"

    np_acts-logits-general · gemini-2.0-flash

    medical and sickness-related contexts

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    makeConstraints
    -0.52
    ActionCreators
    -0.42
     protéger
    -0.38
    đu
    -0.36
    chanel
    -0.35
     extrinsic
    -0.35
    쿵
    -0.35
     væ
    -0.35
    kwds
    -0.34
     Italij
    -0.34
    POSITIVE LOGITS
     sick
    0.81
    sick
    0.80
     medical
    0.79
     bệnh
    0.79
     medicine
    0.79
     medically
    0.78
    Hospitals
    0.78
     hospital
    0.78
     sjuk
    0.78
    Sick
    0.78
    Activations Density 0.874%

    No Known Activations