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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 10643
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    Explanations

    different types of clothing and apparel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     चीज़ों
    -0.66
     CreateTagHelper
    -0.63
    最快更新
    -0.57
    providedIn
    -0.54
    Xna
    -0.50
    ScopeManager
    -0.50
    
    -0.48
    istoitu
    -0.47
    WebVitals
    -0.46
    PerformLayout
    -0.45
    POSITIVE LOGITS
     pants
    0.80
     Pants
    0.74
     trousers
    0.69
    👖
    0.63
     jeans
    0.63
     trouser
    0.63
    pants
    0.61
     broek
    0.60
    Pants
    0.60
     Jeans
    0.59
    Activations Density 0.051%

    No Known Activations