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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 4364
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    references to food-related concepts and descriptors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    脚注の使い方
    -0.47
     cherchés
    -0.46
    ագրություններ
    -0.46
     AssemblyTitle
    -0.45
    __*/
    -0.44
    Hentet
    -0.44
     Мексичка
    -0.41
    новниш
    -0.41
    عرِّف
    -0.40
     GenerationType
    -0.40
    POSITIVE LOGITS
     sandero
    0.51
     dacia
    0.47
    évaluateur
    0.47
     ſen
    0.47
     civiliz
    0.46
     AssemblyVersion
    0.46
    
    0.46
     oreilles
    0.45
     viñ
    0.45
     civilización
    0.45
    Activations Density 0.389%

    No Known Activations