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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. 10981
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    specific names and terms related to Japanese cinema and language

    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
    Filmografie
    -0.38
     Le
    -0.33
     authorized
    -0.32
     поту
    -0.32
     Generalized
    -0.29
     assigned
    -0.29
     jas
    -0.29
     
    -0.29
     Enfer
    -0.29
     Aug
    -0.28
    POSITIVE LOGITS
    httphttps
    1.05
    contentLoaded
    0.87
    setVerticalGroup
    0.79
     surla
    0.71
    AndEndTag
    0.67
     autorytatywna
    0.62
    UnsafeEnabled
    0.61
    новниш
    0.60
     ویکی‌پدی
    0.59
     Савезне
    0.59
    Activations Density 0.048%

    No Known Activations