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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. 13404
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    terms related to energy efficiency and environmental impact

    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
    NameInMap
    -0.60
    Personensuche
    -0.52
    richTextPanel
    -0.50
    ContentLoaded
    -0.50
    AnchorStyles
    -0.50
     للمعارف
    -0.50
     ProtoMessage
    -0.49
    
    -0.48
    findpost
    -0.48
    AddTagHelper
    -0.48
    POSITIVE LOGITS
     efficiency
    2.27
     Efficiency
    1.99
    Efficiency
    1.90
     efficiencies
    1.85
    efficiency
    1.83
     efficient
    1.77
     eficiencia
    1.70
     EFFICIENCY
    1.68
     Efficient
    1.57
     inefficient
    1.57
    Activations Density 0.535%

    No Known Activations