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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. 84495
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    Explanations

    references to large quantities, specifically the word "tens."

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

    tens of millions

    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
    Климат
    -0.44
    
    -0.43
    userProfile
    -0.40
     eg
    -0.40
    гла
    -0.40
    Попис
    -0.39
    ialog
    -0.39
     Buchanan
    -0.39
     arqu
    -0.39
    MenuItem
    -0.38
    POSITIVE LOGITS
     tens
    1.60
     Tens
    1.48
    Tens
    1.41
    tens
    1.23
     decenas
    0.92
     ten
    0.89
     thousands
    0.88
     hundreds
    0.88
     Ten
    0.87
    Ten
    0.81
    Activations Density 0.005%

    No Known Activations