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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 22-GEMMASCOPE-RES-16K
    6. 13152
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    Explanations

    medical and health-related terms, particularly those associated with diseases and their prevention

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

    Diseases and vaccinations

    np_acts-logits-general · gemini-2.0-flash

    contracting diseases or being infected

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nahilalakip
    -0.56
     كومونز
    -0.55
    vastava
    -0.54
     &___
    -0.54
    interopRequire
    -0.52
     Obrador
    -0.51
     насељу
    -0.51
    isNaN
    -0.50
     AspNetCore
    -0.48
     సౌకర్య
    -0.47
    POSITIVE LOGITS
     MEAS
    0.66
     polio
    0.60
    텐츠
    0.56
     Hend
    0.56
     Meas
    0.56
     כול
    0.55
    tet
    0.54
     measles
    0.53
     Hepatitis
    0.53
    enze
    0.52
    Activations Density 0.419%

    No Known Activations