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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. 15785
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    Explanations

    concepts related to nutrition and dietary issues

    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
    RenderAtEndOf
    -0.52
     CreateTagHelper
    -0.45
    AutoScaleMode
    -0.45
     doInBackground
    -0.45
    CopyWith
    -0.44
    Diwedd
    -0.44
    delwed
    -0.43
    Tembelea
    -0.41
    __(/*!
    -0.40
    setVerticalGroup
    -0.40
    POSITIVE LOGITS
    :✨
    0.82
     nutrition
    0.72
    nutrition
    0.70
     Nutrition
    0.70
    Nutrition
    0.69
     Expo
    0.66
    Expo
    0.58
     Robotics
    0.56
     Nutr
    0.56
    RITION
    0.55
    Activations Density 0.416%

    No Known Activations