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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 62647
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    Explanations

    references to natural environments and wildlife

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

    wetlands, marshes, and estuaries

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     climbers
    -0.44
     climbs
    -0.42
    ViewImports
    -0.42
     Keuangan
    -0.42
     MOUNTAIN
    -0.42
     climber
    -0.40
    🧗
    -0.40
    攀
    -0.39
     Bintang
    -0.39
     climbing
    -0.39
    POSITIVE LOGITS
     wetlands
    0.80
     Wetlands
    0.79
     wetland
    0.71
     Wetland
    0.65
     marshes
    0.64
    styleType
    0.62
     InputDecoration
    0.61
     marsh
    0.55
     estuaries
    0.52
     swamps
    0.51
    Activations Density 0.039%

    No Known Activations