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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. 60614
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    Explanations

    references to swamp and wetland environments

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

    wetland and marsh areas

    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
     Fir
    -0.48
     Niki
    -0.48
    Fir
    -0.46
     Heuer
    -0.45
    QtCore
    -0.43
    ➋
    -0.43
    tagHelperRunner
    -0.42
     Fod
    -0.40
    LabelTagHelper
    -0.40
    NonNull
    -0.40
    POSITIVE LOGITS
     swamp
    2.06
     Swamp
    1.95
    Swamp
    1.81
    swamp
    1.74
     swamps
    1.61
     marsh
    0.86
     wetland
    0.84
     wetlands
    0.82
     marshes
    0.79
     Wetland
    0.79
    Activations Density 0.003%

    No Known Activations