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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 13327
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    Explanations

    various types and groups of food, especially focusing on diversity in vegetables and dietary options

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mappedBy
    -0.52
    Tracce
    -0.52
     Coffee
    -0.50
    SharedCtor
    -0.50
     coffee
    -0.49
     invokingState
    -0.49
    omiast
    -0.48
    Coffee
    -0.47
    coffee
    -0.47
     almend
    -0.47
    POSITIVE LOGITS
     vegetables
    1.09
     veggies
    0.94
     vegetable
    0.94
     Vegetables
    0.91
     broccoli
    0.87
     greens
    0.86
    Vegetables
    0.85
     cabbage
    0.84
    vegetables
    0.84
     veg
    0.84
    Activations Density 0.241%

    No Known Activations