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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 9625
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    Explanations

    references to various diseases and medical conditions

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

    the word "disease" in medical and scientific contexts, especially when discussing medical conditions, health problems, or clinical topics.

    oai_token-act-pair · claude-4-5-sonnetTriggered by @jyhe0408

    mentions of diseases and related clinical conditions, especially in formal medical or biomedical contexts.

    oai_token-act-pair · gpt-5Triggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    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
    -0.54
     Meksika
    -0.46
     düğün
    -0.46
    gevens
    -0.46
     StringTokenizer
    -0.45
     dentists
    -0.45
     kafe
    -0.44
     Winkler
    -0.44
     Alexandra
    -0.44
    Haupt
    -0.44
    POSITIVE LOGITS
     disease
    1.02
     Disease
    0.98
    Disease
    0.95
    disease
    0.93
     malattia
    0.90
     illness
    0.88
     Illness
    0.86
     diseases
    0.86
     DISEASE
    0.84
     sickness
    0.82
    Activations Density 0.233%

    No Known Activations