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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 8909
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    the Japanese particle "を" and variations of the word "whom."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
            
    -0.38
     genoeg
    -0.37
     compositeur
    -0.36
    ırlı
    -0.34
    шеб
    -0.34
     *)&
    -0.33
     bepaalde
    -0.33
    -0.32
     czł
    -0.32
     bedrijfs
    -0.32
    POSITIVE LOGITS
    devamını
    0.81
    ⓧ
    0.67
    ThroughAttribute
    0.63
    方を
    0.61
    心を
    0.60
    folios
    0.59
    道を
    0.59
    日を
    0.58
    기를
    0.58
    리를
    0.58
    Activations Density 0.068%

    No Known Activations