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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 12506
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    INDEX
    Explanations

    references to various food types and categories

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     borboleta
    -0.51
     coroa
    -0.48
     personalidade
    -0.46
     campanha
    -0.46
    miter
    -0.45
     faixa
    -0.43
     Meyers
    -0.42
    AutoField
    -0.42
     advantage
    -0.42
    niosek
    -0.42
    POSITIVE LOGITS
     food
    2.41
    Food
    2.34
     Food
    2.34
     FOOD
    2.25
    food
    2.23
    FOOD
    2.11
     foods
    1.67
     Foods
    1.66
    Foods
    1.59
     nourriture
    1.55
    Activations Density 0.085%

    No Known Activations