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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 1718
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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 @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    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
    -0.61
    webElementXpaths
    -0.56
     Paglinawan
    -0.55
    ConstraintMaker
    -0.54
    UnusedPrivate
    -0.54
     jsPsych
    -0.49
     GreatSchools
    -0.48
    Демографія
    -0.47
     informée
    -0.46
     surla
    -0.46
    POSITIVE LOGITS
     injury
    2.73
     injuries
    2.64
     injured
    2.58
     Injury
    2.36
    injury
    2.23
     injure
    2.23
     Injuries
    2.20
    Injury
    2.19
     Injured
    2.17
     INJ
    2.16
    Activations Density 0.582%

    No Known Activations