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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 8876
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    Explanations

    references to medical emergencies and their consequences

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

    Reporting casualties: died, wounded, injured

    np_acts-logits-general · gemini-2.0-flash

    victims injured or died

    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
    Not in Any Lists

    No Comments

    Negative Logits
    UrlResolution
    -0.58
    NewGuid
    -0.52
    FXML
    -0.46
    hObject
    -0.45
     للمعارف
    -0.43
    writerow
    -0.42
    BASEPATH
    -0.41
     RECENT
    -0.40
    InputTagHelper
    -0.40
    lässlich
    -0.40
    POSITIVE LOGITS
     reportedly
    0.54
     unharmed
    0.53
     paramedics
    0.49
     firefighters
    0.49
     transported
    0.49
    Damage
    0.48
     dibawa
    0.47
     rescued
    0.47
     onlookers
    0.45
     underwent
    0.45
    Activations Density 0.180%

    No Known Activations