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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 11424
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    references to languages and bilingualism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ***!
    -0.47
    !*\
    -0.36
    unsplash
    -0.35
    IBOutlet
    -0.34
    /**/
    -0.32
    templ
    -0.32
     تعدى
    -0.32
    MENAFN
    -0.31
    出典
    -0.31
    getOut
    -0.30
    POSITIVE LOGITS
     languages
    0.88
     bilingual
    0.86
     language
    0.84
    ilingual
    0.82
    language
    0.80
     Bilingual
    0.80
     multilingual
    0.80
     lingue
    0.78
     lingua
    0.77
     biling
    0.76
    Activations Density 0.210%

    No Known Activations