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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. 75
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    Explanations

    references to airways in the context of respiratory health

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

    Airline or pulmonary airways

    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
    Xna
    -0.50
    HandlerContext
    -0.46
     <<<<<<<<<<<<<<
    -0.46
    basicConfig
    -0.45
     pin
    -0.38
    Pranala
    -0.37
    bin
    -0.36
    Pin
    -0.35
     Jeon
    -0.35
    Bin
    -0.35
    POSITIVE LOGITS
     Airways
    3.06
     airways
    1.74
     airway
    1.20
     Airlines
    0.83
    WAYS
    0.79
     airlines
    0.73
     aéreas
    0.68
     aérienne
    0.67
     Airline
    0.67
     Air
    0.67
    Activations Density 0.001%

    No Known Activations