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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 5878
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    Explanations

    references to injuries and casualties in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     oprot
    -0.71
    UnusedPrivate
    -0.63
    webElementXpaths
    -0.61
    ConstraintMaker
    -0.61
     Paglinawan
    -0.60
     surla
    -0.59
     GreatSchools
    -0.56
     jsPsych
    -0.56
    httphttps
    -0.54
    makeConstraints
    -0.52
    POSITIVE LOGITS
     injury
    2.56
     injuries
    2.44
     injured
    2.41
     Injury
    2.20
     injure
    2.09
    injury
    2.08
     INJ
    2.03
    Injury
    2.03
     Injuries
    2.02
    injured
    2.00
    Activations Density 0.543%

    No Known Activations