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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. 20-GEMMASCOPE-RES-16K
    11. 693
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    Explanations

    terms related to vehicles and driving incidents

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

    automobiles and driving

    np_acts-logits-general · gemini-2.0-flash

    cars and driving

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_16k/average_l0_91
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     olympiques
    -0.57
    Activités
    -0.54
     EconPapers
    -0.52
    tagHelperRunner
    -0.52
    ContentAsync
    -0.51
    richTextPanel
    -0.51
    ftagPool
    -0.47
    
    -0.47
    عرِّف
    -0.47
    nościo
    -0.46
    POSITIVE LOGITS
     cars
    0.72
     car
    0.70
     automobile
    0.67
     drive
    0.66
     driving
    0.66
     driver
    0.65
     vehicles
    0.63
     vehicle
    0.62
     drivers
    0.61
     automobiles
    0.61
    Activations Density 0.134%

    No Known Activations