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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. 1153
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    Explanations

    specific types of food dishes and their preparation methods

    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
    Personensuche
    -0.62
    DIPSETTING
    -0.61
    Diwedd
    -0.60
    parsedMessage
    -0.57
     createSlice
    -0.56
     tartalomajánló
    -0.54
     wewnętr
    -0.53
    CppMethod
    -0.53
    libft
    -0.52
     intStringLen
    -0.52
    POSITIVE LOGITS
     dish
    1.61
     dishes
    1.61
     Dishes
    1.23
     Dish
    1.09
    Dishes
    1.09
     DISH
    1.06
    dishes
    1.05
     meal
    1.02
     meals
    1.00
    Dish
    0.99
    Activations Density 0.204%

    No Known Activations