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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 7980
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    Explanations

    aspects of food quality and overall dining experience

    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
    留
    -0.33
     Eriksson
    -0.32
    EXTERNAL
    -0.32
    INTERNAL
    -0.32
     Studium
    -0.32
     Neuen
    -0.30
     留
    -0.30
     EXTERNAL
    -0.30
     RELATION
    -0.30
    社
    -0.29
    POSITIVE LOGITS
    bootstrapcdn
    0.77
    AndEndTag
    0.64
     restaurant
    0.63
    󠁿
    0.62
     restaurants
    0.60
     dinner
    0.60
     ristoranti
    0.59
     Мексичка
    0.59
    extAlignment
    0.59
    PerformLayout
    0.58
    Activations Density 0.124%

    No Known Activations