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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 102454
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    Explanations

    references to dining establishments and medical terminology related to diagnostic tests

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    diner or D-dimer

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    WebElementEntity
    -0.52
     Britt
    -0.50
     Capricorn
    -0.45
    ScopeManager
    -0.43
    Britt
    -0.43
     prega
    -0.43
     teaching
    -0.43
     ✭✭
    -0.42
    ReLU
    -0.42
     renewable
    -0.41
    POSITIVE LOGITS
     diner
    1.95
     Diner
    1.91
     diners
    1.39
    Dinner
    0.78
     Dinner
    0.72
    liner
    0.71
     dinner
    0.68
     DINNER
    0.67
    dinner
    0.66
     dinners
    0.65
    Activations Density 0.003%

    No Known Activations