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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 7286
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    Explanations

    references to meals and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Times of day for meals

    np_acts-logits-general · gemini-2.0-flash

    meal times

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     digitais
    -0.55
    Vidu
    -0.54
     agência
    -0.50
     membros
    -0.49
    retudo
    -0.48
     esprits
    -0.47
     sério
    -0.47
     regalías
    -0.47
    负责人
    -0.45
     agencias
    -0.45
    POSITIVE LOGITS
     Breakfast
    0.68
    Dinner
    0.68
     Dinner
    0.67
     DINNER
    0.65
     breakfast
    0.65
    dinner
    0.65
     Lunch
    0.65
    lunch
    0.64
    Lunch
    0.63
     LUNCH
    0.63
    Activations Density 0.115%

    No Known Activations