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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. 52908
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    Explanations

    references to subway or metro systems and transportation-related terms

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

    metro

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Sociales
    -0.37
     Politique
    -0.36
    spania
    -0.36
     Producción
    -0.35
     disponibilités
    -0.34
     Mühe
    -0.34
     História
    -0.33
     Chinois
    -0.33
     África
    -0.32
    Enlaces
    -0.32
    POSITIVE LOGITS
     metro
    2.16
    metro
    1.78
     Metro
    1.73
    Metro
    1.66
     METRO
    1.55
     metropolitan
    1.45
     métro
    1.43
    METRO
    1.41
     metropol
    1.38
     metros
    1.32
    Activations Density 0.003%

    No Known Activations