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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. 5673
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    Explanations

    culinary terms related to dining experiences and restaurant quality

    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
    Not in Any Lists

    No Comments

    Negative Logits
    TagMode
    -0.65
     оригіналу
    -0.60
    protoimpl
    -0.58
     виправивши
    -0.54
     EconPapers
    -0.54
     protoimpl
    -0.52
    PostInfinity
    -0.51
     intStringLen
    -0.50
     صوتيه
    -0.49
    Clik
    -0.48
    POSITIVE LOGITS
     restaurant
    2.48
     restaurants
    2.30
     Restaurant
    2.05
    restaurant
    1.92
     restaurante
    1.91
    Restaurant
    1.89
     Restaurants
    1.85
     RESTAURANT
    1.81
     eatery
    1.75
    restaurants
    1.71
    Activations Density 0.310%

    No Known Activations