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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. 56143
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    Explanations

    references to biomarkers in scientific contexts

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

    biomarker for medical diagnosis

    np_acts-logits-general · gemini-2.5-flash-lite
    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
     générale
    -0.44
     secciones
    -0.40
     sección
    -0.39
     nôtre
    -0.37
     Grüße
    -0.37
     מן
    -0.37
     Otros
    -0.37
     vollen
    -0.36
     sections
    -0.36
     réguli
    -0.36
    POSITIVE LOGITS
     biomarkers
    1.67
     biomarker
    1.65
     bioavailability
    0.81
     pictogram
    0.66
     فريبيس
    0.64
     biotechnology
    0.63
     biofilm
    0.63
    Datuak
    0.62
     biochemistry
    0.60
     للاسماء
    0.60
    Activations Density 0.008%

    No Known Activations