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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 7711
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    INDEX
    Explanations

    references to motor vehicles and associated terminology

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

    "motor" preceding types of vehicles

    np_acts-logits-general · gemini-2.0-flash

    motor vehicle types

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     linkovi
    -0.61
     Lordships
    -0.51
    Diwedd
    -0.50
     autorytatywna
    -0.50
    UnusedPrivate
    -0.49
     betweenstory
    -0.49
    MethodManager
    -0.48
    lorette
    -0.48
     Foxx
    -0.45
    prepareStatement
    -0.44
    POSITIVE LOGITS
     Motor
    0.54
     motor
    0.53
    motor
    0.49
     MOTOR
    0.48
    Motor
    0.47
     moto
    0.46
     Mot
    0.43
     motori
    0.41
    giphy
    0.41
     Moto
    0.40
    Activations Density 0.155%

    No Known Activations