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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 13168
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    Explanations

    references to nutrition and dietary factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/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.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     shell
    -0.48
    MSD
    -0.44
     marsh
    -0.43
     Shelves
    -0.42
    Portail
    -0.41
     salesman
    -0.41
    sweater
    -0.41
     gameplay
    -0.41
     Usability
    -0.40
     Delivery
    -0.40
    POSITIVE LOGITS
     nutrition
    0.73
     ses
    0.68
    nutrition
    0.66
     nutrient
    0.65
    nutri
    0.65
     Nutrition
    0.64
    Nutrition
    0.62
     Nähr
    0.62
    栄養
    0.61
    营养
    0.58
    Activations Density 0.118%

    No Known Activations