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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 25-GEMMASCOPE-RES-16K
    11. 1367
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    Explanations

    references to dietary fortification and its impact on nutrition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 25-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_25/width_16k/average_l0_116
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TagMode
    -0.71
    IntoConstraints
    -0.61
    twimg
    -0.60
    Nef
    -0.55
     DRAG
    -0.53
     ModelExpression
    -0.53
    MemoryWarning
    -0.52
     API
    -0.52
     Nef
    -0.49
    
    -0.49
    POSITIVE LOGITS
     wheat
    1.12
     grain
    1.04
     grains
    1.01
     Wheat
    1.00
     rice
    0.98
     cereals
    0.98
     cereal
    0.97
     flour
    0.96
    wheat
    0.95
     oats
    0.95
    Activations Density 0.401%

    No Known Activations