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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. 14087
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    Explanations

    high-quality materials and finishes, particularly leather

    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
    HasAnnotation
    -0.45
     nonatomic
    -0.41
    HomeAsUpEnabled
    -0.41
     Macaulay
    -0.37
     createSprite
    -0.36
    oredCriteria
    -0.36
    Diwedd
    -0.35
     opérés
    -0.35
     pijama
    -0.35
     fenêtres
    -0.35
    POSITIVE LOGITS
     leather
    1.80
     Leather
    1.57
    leather
    1.55
    Leather
    1.54
     cuero
    1.22
     چرم
    1.20
     couro
    1.14
     suede
    1.12
     cuir
    1.05
     кожа
    1.03
    Activations Density 0.192%

    No Known Activations