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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 89130
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    Explanations

    phrases related to medical treatments and clinical studies

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

    medical conditions and diagnoses

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     microbiome
    -0.96
     comorbidities
    -0.78
     CRISPR
    -0.73
    COVID
    -0.71
     selfie
    -0.71
     COVID
    -0.71
     impactful
    -0.69
     selfies
    -0.68
     onboarding
    -0.68
     mindfulness
    -0.68
    POSITIVE LOGITS
    faßt
    0.77
     läßt
    0.69
     muß
    0.66
     daß
    0.61
     mußten
    0.59
     idéia
    0.52
     Miß
    0.52
    تقاوى
    0.50
     Schluß
    0.50
     mußte
    0.50
    Activations Density 0.695%

    No Known Activations