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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 20-GEMMASCOPE-RES-131K
    6. 40141
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    Explanations

    technical terms and concepts related to medical or biological topics

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

    material structure components

    np_acts-logits-general · gemini-2.5-flash-lite

    the neuron detects technical, scientific, or domain-specific terminology (specialized nouns and descriptors found in medical, biological, engineering, and patent-like texts).

    oai_token-act-pair · gpt-5-miniTriggered by @vetterc0
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    تقاوى
    -0.66
    ніципалі
    -0.59
    +#+
    -0.59
     betweenstory
    -0.56
    
    -0.55
    省市镇
    -0.54
     виправивши
    -0.54
     незавершена
    -0.50
     tartalomajánló
    -0.49
     Alquiler
    -0.48
    POSITIVE LOGITS
    ########.
    0.45
     resourceCulture
    0.45
     AssemblyCulture
    0.43
     مرئيه
    0.40
    GHIJKLM
    0.37
    styleType
    0.36
    зулта
    0.35
    Personendaten
    0.35
    parsedMessage
    0.35
    TextWatcher
    0.34
    Activations Density 39.194%

    No Known Activations