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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 7890
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    Explanations

    references to casualties and wounded individuals in violent incidents

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

    "Wounded", "injured", or mortality-related texts

    np_acts-logits-general · gemini-2.0-flash

    wounding or injured

    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
     delete
    -0.54
    ::~
    -0.53
    Delete
    -0.53
    DeleteCommand
    -0.53
    delete
    -0.52
     Delete
    -0.52
     nakalista
    -0.49
    ToDelete
    -0.48
    del
    -0.47
    Eliminar
    -0.47
    POSITIVE LOGITS
     wounded
    0.72
     wounding
    0.67
    Injured
    0.62
    RectangleBorder
    0.61
     estimés
    0.59
     injure
    0.56
     injured
    0.56
     wound
    0.53
     esternos
    0.53
    Portail
    0.53
    Activations Density 0.187%

    No Known Activations