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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 9870
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    Explanations

    terms related to fuel consumption and efficiency in vehicles

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

    information related to fuel consumption, efficiency, and emissions in vehicles.

    oai_token-act-pair · claude-3-7-sonnet-20250219Triggered by @neilrathi
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    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
    SuspendLayout
    -0.50
    ThemeOverlay
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     صوتيه
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     EconPapers
    -0.43
    rawDesc
    -0.41
    Története
    -0.39
    rzez
    -0.38
    cesis
    -0.37
    Descrip
    -0.36
     chì
    -0.36
    POSITIVE LOGITS
    __*/
    0.58
    mpg
    0.58
    jspb
    0.57
     mpg
    0.57
     '{@
    0.55
     MPG
    0.52
    燃費
    0.46
    endimiento
    0.44
     Mileage
    0.42
    ătate
    0.41
    Activations Density 0.178%

    No Known Activations