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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 10879
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    Explanations

    specialized terms related to specific scientific concepts, applications, and measurements

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

    medical and health contexts

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

    The neuron activates for technical, topic-specific content words (domain-specific nouns) that typically appear in headings or titles (e.g., scientific, medical, sports, or industry terms).

    oai_token-act-pair · gpt-5-miniTriggered by @vetterc0
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     snippetHide
    -0.48
     يتيمه
    -0.48
    :✨
    -0.42
    ство
    -0.41
     referenties
    -0.40
     <",
    -0.38
     лицом
    -0.37
     wł
    -0.36
    angor
    -0.36
     frontage
    -0.34
    POSITIVE LOGITS
    IsContent
    0.48
    AISSEE
    0.45
    ----</
    0.44
    
    0.44
     autorytatywna
    0.44
     мәкал
    0.42
    ConstraintMaker
    0.42
    FormTagHelper
    0.41
     Prins
    0.41
     незавершена
    0.40
    Activations Density 6.120%

    No Known Activations