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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. 8785
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    Explanations

    instances of injury or trauma, particularly involving violence or medical conditions

    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
     malade
    -0.53
     volcán
    -0.50
     informée
    -0.50
     malades
    -0.48
    opcional
    -0.47
     Schmel
    -0.46
     Italijani
    -0.44
    RenderAtEndOf
    -0.44
     enfermo
    -0.44
     border
    -0.43
    POSITIVE LOGITS
     contu
    0.74
     lacer
    0.68
     injuries
    0.66
     trauma
    0.63
     fractures
    0.59
     Injuries
    0.59
     bruises
    0.56
     traumatic
    0.56
     blunt
    0.55
    trauma
    0.54
    Activations Density 0.381%

    No Known Activations