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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 10395
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    INDEX
    Explanations

    words and phrases related to fuel efficiency and consumption in vehicles

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

    efficiency and fuel consumption

    np_acts-logits-general · gemini-2.0-flash

    economy efficiency life

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     صوتيه
    -0.50
    SuspendLayout
    -0.47
    ThemeOverlay
    -0.44
     EconPapers
    -0.43
    Története
    -0.40
     تانيه
    -0.37
    Breite
    -0.36
     bandas
    -0.36
     investi
    -0.35
     وتسجيلات
    -0.35
    POSITIVE LOGITS
    mpg
    0.61
     mpg
    0.59
    __*/
    0.52
     MPG
    0.52
    燃費
    0.51
    endimiento
    0.51
     '{@
    0.50
    jspb
    0.48
     Mileage
    0.44
    łaś
    0.42
    Activations Density 0.165%

    No Known Activations