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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 5165
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    references to elderly populations and their health conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_8/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     kasarigan
    -0.86
    +#+#
    -0.81
     فريبيس
    -0.80
     تانيه
    -0.79
    tvguidetime
    -0.78
    Geplaatst
    -0.78
     архивлан
    -0.77
    InitVars
    -0.76
    Autoritní
    -0.75
    ьаж
    -0.75
    POSITIVE LOGITS
     elderly
    1.07
     Elderly
    0.97
     pension
    0.97
     pensioners
    0.94
     age
    0.93
     aged
    0.93
     retirement
    0.90
    Retirement
    0.89
     aging
    0.86
     seniors
    0.84
    Activations Density 0.239%

    No Known Activations