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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 12707
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    INDEX
    Explanations

    references to fuel efficiency and vehicle performance metrics

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

    fuel economy and efficiency

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actionMode
    -0.39
    BindView
    -0.36
    createTextNode
    -0.36
    multer
    -0.35
    ViewFeatures
    -0.32
     gere
    -0.32
    positorio
    -0.31
     Poz
    -0.30
    اة
    -0.30
    Harriet
    -0.29
    POSITIVE LOGITS
     fuel
    1.53
     Fuel
    1.30
    Fuel
    1.29
    fuel
    1.24
     mpg
    1.19
    燃費
    1.16
     FUEL
    1.09
    FUEL
    1.09
     MPG
    1.09
     gasoline
    1.05
    Activations Density 0.034%

    No Known Activations