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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 8255
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    Explanations

    references to dietary patterns and nutritional habits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    webElementGuid
    -0.57
    parsedMessage
    -0.51
    nutrition
    -0.50
    astéro
    -0.50
     nutrition
    -0.49
    quiao
    -0.47
    naphthal
    -0.47
     ingredient
    -0.46
     AppCompatTheme
    -0.46
     Administrativna
    -0.46
    POSITIVE LOGITS
     fruits
    0.60
     leafy
    0.59
     seafood
    0.57
     dark
    0.54
     fish
    0.53
     poultry
    0.53
     lean
    0.52
     legumes
    0.52
     meats
    0.52
     dairy
    0.51
    Activations Density 0.390%

    No Known Activations