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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 16-GEMMASCOPE-RES-16K
    6. 12391
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    INDEX
    Explanations

    phrases related to collisions and accidents involving vehicles or transportation

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

    car accidents or collisions

    np_acts-logits-general · gemini-2.0-flash

    vehicle collision avoidance

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ⓧ
    -0.83
    ContentAsync
    -0.74
    InjectAttribute
    -0.64
    ++]=
    -0.58
    styleType
    -0.56
    Попис
    -0.56
    ArgsConstructor
    -0.56
    LabelTagHelper
    -0.54
    "},
    
    -0.52
    colhead
    -0.52
    POSITIVE LOGITS
     collision
    1.04
     collisions
    0.87
     Collision
    0.86
     collide
    0.80
    Collision
    0.80
     collided
    0.78
    collision
    0.76
     colliding
    0.74
    ぶつ
    0.65
    轢
    0.63
    Activations Density 0.250%

    No Known Activations