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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 7756
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    INDEX
    Explanations

    references to biofuels and biotechnological applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Following prepositions "in," "for," "and," or numbers

    np_acts-logits-general · gemini-2.0-flash

    industrial, pharmaceutical, and food applications

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GeneratedValue
    -0.59
    mergeFrom
    -0.54
    abestanden
    -0.52
     متعلقه
    -0.49
    SequentialGroup
    -0.49
     Réponses
    -0.48
    رشف
    -0.47
     OnTriggerEnter
    -0.47
    setVerticalGroup
    -0.46
    atiles
    -0.46
    POSITIVE LOGITS
     cosmetics
    0.78
     cooking
    0.70
     industrial
    0.69
     industries
    0.67
     medicine
    0.67
     cosmetic
    0.66
     pharmaceutical
    0.64
     pharmaceuticals
    0.63
     kosme
    0.63
     toothpaste
    0.61
    Activations Density 0.643%

    No Known Activations