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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 14449
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    terms related to health conditions among the elderly, particularly focusing on osteoporosis and related medical indicators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lenker
    -0.94
     protoimpl
    -0.85
    AllAfrica
    -0.83
     unknownFields
    -0.82
     transférez
    -0.82
     '\\;'
    -0.81
    ंदीखरीदारी
    -0.80
    ]")]
    -0.79
    contentLoaded
    -0.79
     pinulongan
    -0.79
    POSITIVE LOGITS
     elderly
    0.86
     seniors
    0.79
     Seniors
    0.75
     Elderly
    0.74
     retirement
    0.71
     Medicare
    0.68
    Seniors
    0.66
    老年
    0.64
     pensioners
    0.64
     Retirement
    0.62
    Activations Density 0.379%

    No Known Activations