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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 2100
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    Explanations

    references to injuries and casualties resulting from violent incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للاسماء
    -0.52
     tang
    -0.50
     kasarigan
    -0.49
     CreateTagHelper
    -0.48
    IsPostBack
    -0.48
     Tang
    -0.45
     ivelany
    -0.41
     pageContext
    -0.41
    Бахар
    -0.40
    MemoryWarning
    -0.39
    POSITIVE LOGITS
     wounded
    0.79
    injured
    0.79
     injured
    0.79
     heridos
    0.78
     Injured
    0.77
     herido
    0.76
     médicale
    0.72
    Injured
    0.71
    受伤
    0.70
     Wounds
    0.70
    Activations Density 0.242%

    No Known Activations