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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 987
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    Explanations

    references to food-related health concerns and nutritional content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AddTagHelper
    -0.69
    \{\\
    -0.53
     tartalomajánló
    -0.49
    Hozzáférés
    -0.46
    raulic
    -0.44
     intStringLen
    -0.42
     Knoblauch
    -0.42
     Aussicht
    -0.42
     onlyOwner
    -0.42
     gevo
    -0.42
    POSITIVE LOGITS
     nutrition
    0.68
    nutri
    0.63
     nutritional
    0.62
    Nutrition
    0.61
     Nutrition
    0.59
     calories
    0.58
     nutritive
    0.58
     nutri
    0.58
    nutrition
    0.57
     Nutri
    0.56
    Activations Density 0.236%

    No Known Activations