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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 9661
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    Explanations

    terms and phrases associated with medical emergencies and their mortality risks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     IBOutlet
    -0.51
    RTEE
    -0.49
     Campus
    -0.47
    Dichloroethene
    -0.46
    oredCriteria
    -0.45
     Tired
    -0.44
     footprint
    -0.44
    zzleHttp
    -0.44
     disambiguazione
    -0.43
     Screens
    -0.43
    POSITIVE LOGITS
     deaths
    0.69
     death
    0.68
     mortality
    0.64
    Mortality
    0.59
     muerte
    0.59
    Death
    0.57
     muertes
    0.56
     deadly
    0.55
    Deaths
    0.54
     Mortality
    0.53
    Activations Density 0.688%

    No Known Activations