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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. 94010
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    INDEX
    Explanations

    references to different types of cars and instances of coup-related terms

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    coupe, coup, coupled, clique

    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
    Negative Logits
    LastError
    -0.39
     témoin
    -0.39
     réfé
    -0.38
     veau
    -0.37
     méda
    -0.37
     jouet
    -0.37
     Zas
    -0.36
     variés
    -0.36
     Jer
    -0.36
    Jer
    -0.34
    POSITIVE LOGITS
     Coupe
    2.16
     coupe
    2.14
    Coupe
    1.97
    coupe
    1.90
     Coupé
    1.84
     coupes
    1.80
     coupé
    1.52
     Coup
    1.45
     coup
    1.30
    coup
    1.25
    Activations Density 0.002%

    No Known Activations