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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 11595
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    Explanations

    references to elderly individuals and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Administrativna
    -0.63
    msgTypes
    -0.54
     beginnetje
    -0.50
     Wikimedijinoj
    -0.50
     rhestr
    -0.49
    pushFollow
    -0.48
    IsMutable
    -0.48
    ftagPool
    -0.48
     للاسماء
    -0.47
    httphttps
    -0.47
    POSITIVE LOGITS
     elderly
    0.89
     Elderly
    0.82
     vieill
    0.81
     ancianos
    0.80
    Aging
    0.78
     envejec
    0.77
    elderly
    0.75
     Aging
    0.73
     aging
    0.68
    高齢
    0.61
    Activations Density 0.100%

    No Known Activations