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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 18-GEMMASCOPE-RES-16K
    11. 12111
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    Explanations

    terms related to wetlands and their ecological attributes

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

    wet, swampy areas

    np_acts-logits-general · gemini-2.0-flash

    wetlands and swamps

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MLLoader
    -0.69
     climbers
    -0.63
     nahilalakip
    -0.58
     بيها
    -0.57
     AssemblyCompany
    -0.54
     мәкал
    -0.53
     Gerais
    -0.53
     climber
    -0.53
     commerciales
    -0.52
    lapsingToolbar
    -0.52
    POSITIVE LOGITS
     wetland
    1.09
     Wetland
    1.02
     wetlands
    0.99
     Swamp
    0.96
     swamp
    0.96
     marsh
    0.94
     Wetlands
    0.93
     marshes
    0.92
     flood
    0.92
     flooded
    0.86
    Activations Density 0.172%

    No Known Activations