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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 13923
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    INDEX
    Explanations

    descriptions of vehicle performance and handling under varying road conditions

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

    driving, control, or farming

    np_acts-logits-general · gemini-2.0-flash

    grip control in difficult conditions

    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
    kháu
    -0.76
    Autoritní
    -0.74
    ⓧ
    -0.65
    MessageTagHelper
    -0.64
     SDLK
    -0.64
     imageNamed
    -0.62
     بيها
    -0.61
    setVerticalGroup
    -0.59
    AutoScale
    -0.59
    ")));
    -0.57
    POSITIVE LOGITS
     muddy
    0.74
     mud
    0.71
     wet
    0.62
    mud
    0.58
     flood
    0.57
     Mud
    0.55
     landslides
    0.55
    tonode
    0.55
     Muddy
    0.54
    Mud
    0.54
    Activations Density 0.167%

    No Known Activations