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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 6-GEMMASCOPE-RES-16K
    11. 14233
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    terms related to elderly populations and their health and care needs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 6-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_6/width_16k/average_l0_70
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rrggbb
    -0.89
     tartalomajánló
    -0.89
    #+#
    -0.81
     otomatig
    -0.78
     nakalista
    -0.77
    Geplaatst
    -0.76
    Rujuakan
    -0.75
     fieldNum
    -0.75
    fjspx
    -0.73
    Sucesor
    -0.71
    POSITIVE LOGITS
     Elderly
    1.11
     elderly
    1.10
     retirement
    0.95
     Seniors
    0.94
    👵
    0.93
     Retirement
    0.93
    Retirement
    0.92
     Aging
    0.92
     seniors
    0.91
     aging
    0.91
    Activations Density 0.440%

    No Known Activations