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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 3779
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    Explanations

    references to the elderly and aging populations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للاسماء
    -0.61
     CreateTagHelper
    -0.50
    первых
    -0.46
     впер
    -0.41
     Transverse
    -0.41
     ""],
    -0.41
     IRL
    -0.39
    setContentType
    -0.39
    msgTypes
    -0.38
    neq
    -0.38
    POSITIVE LOGITS
     elderly
    1.10
     Elderly
    1.03
    elderly
    1.01
     ancianos
    0.91
    Aging
    0.88
    Seniors
    0.88
    Elder
    0.87
     Aging
    0.85
     Senioren
    0.84
     seniors
    0.83
    Activations Density 0.284%

    No Known Activations