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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 7965
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    terms related to aging and health research

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Jungs
    -0.33
    nestjs
    -0.32
     девушка
    -0.30
    くんの
    -0.28
     ragazza
    -0.28
    зулта
    -0.28
     dziewczyn
    -0.28
     jerawat
    -0.28
    ContentAsync
    -0.28
    くん
    -0.28
    POSITIVE LOGITS
     aging
    2.20
     elderly
    2.19
     ageing
    2.11
     Aging
    2.02
     Elderly
    1.93
     aged
    1.88
    Aging
    1.87
     vieill
    1.83
    elderly
    1.79
     retirement
    1.78
    Activations Density 0.738%

    No Known Activations