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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 2412
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    Explanations

    information related to elderly health, especially focusing on conditions and factors affecting older adults

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CreateTagHelper
    -0.54
    msgTypes
    -0.50
     Administrativna
    -0.47
    Microkernel
    -0.46
    cetype
    -0.40
    ftagPool
    -0.39
    melse
    -0.38
    験
    -0.36
    .*")]
    -0.35
     arg
    -0.35
    POSITIVE LOGITS
     Elderly
    1.21
     elderly
    1.19
     Aging
    1.03
    elderly
    1.03
     Retirement
    1.01
     ancianos
    1.00
    Retirement
    1.00
     retirement
    1.00
     pensioners
    0.98
    retirement
    0.96
    Activations Density 0.612%

    No Known Activations