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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 5939
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    references to mobile devices and applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tiefe
    -0.41
     projetos
    -0.35
     unirse
    -0.33
     aço
    -0.33
     fieltro
    -0.33
     materiału
    -0.31
     kaplama
    -0.30
     trovi
    -0.30
     embalaje
    -0.30
     parç
    -0.30
    POSITIVE LOGITS
     smartphone
    2.06
     Smartphone
    1.97
     iPhone
    1.95
     smartphones
    1.93
     iPad
    1.81
    Smartphone
    1.81
     Smartphones
    1.79
     Bluetooth
    1.76
    smartphone
    1.75
     iPhones
    1.72
    Activations Density 0.315%

    No Known Activations