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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. 14932
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    terms related to nutritional and health-related behaviors

    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
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    No Comments

    Negative Logits
    awtextra
    -0.55
    adaptiveStyles
    -0.54
     nakalista
    -0.54
     autorytatywna
    -0.53
    nodoc
    -0.50
    ValueStyle
    -0.49
     internetowa
    -0.49
     فريبيس
    -0.49
    Diweddarwch
    -0.49
     Мексичка
    -0.48
    POSITIVE LOGITS
    andExpect
    0.44
     extraordinaire
    0.42
    游戏亮点
    0.42
    خواندن
    0.41
     almofada
    0.40
    bindet
    0.40
    konomi
    0.40
     kyt
    0.40
     թվական
    0.40
    ájá
    0.40
    Activations Density 2.804%

    No Known Activations