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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. 2900
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    Explanations

    instances of medical emergencies and negligence in care settings

    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
    ChildScrollView
    -0.43
    setVerticalGroup
    -0.38
     rebajas
    -0.36
    
    -0.32
    InputBorder
    -0.32
    Atsauces
    -0.32
    Xna
    -0.32
     AssemblyCompany
    -0.31
    offsetTop
    -0.30
    Rptr
    -0.30
    POSITIVE LOGITS
     emergency
    1.73
     ambulance
    1.64
     Emergency
    1.61
    Emergency
    1.60
     ambulances
    1.52
    emergency
    1.47
     paramedics
    1.45
     Ambulance
    1.44
     EMERGENCY
    1.43
     rescue
    1.38
    Activations Density 0.286%

    No Known Activations