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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 5924
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    references to Taiwan and its demographic characteristics, particularly focusing on the elderly population and healthcare issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_11/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    الحياه
    -0.65
     MainAxisSize
    -0.53
    addCriterion
    -0.51
    UnitTesting
    -0.51
     laſſen
    -0.50
     Guinée
    -0.49
    indicato
    -0.49
    ExtendWith
    -0.48
     Ethio
    -0.47
    acar
    -0.47
    POSITIVE LOGITS
     Taiwan
    0.83
     Taiwanese
    0.78
    Taiwan
    0.73
     Taipei
    0.70
     taiwan
    0.69
    台湾
    0.61
     للاسماء
    0.46
     台湾
    0.43
     Formosa
    0.42
    台北
    0.40
    Activations Density 0.174%

    No Known Activations