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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 13000
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    terms related to mitochondrial functions and gene expression

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    PyExc
    -0.29
    多
    -0.28
     recommandations
    -0.26
     t
    -0.25
    HEK
    -0.24
     bộ
    -0.24
    층
    -0.23
     非
    -0.23
     Board
    -0.22
    심
    -0.22
    POSITIVE LOGITS
     للاسماء
    0.75
    
    0.69
    findpost
    0.69
    DockStyle
    0.68
    الإنجليزية
    0.68
    bootstrapcdn
    0.68
    awaiter
    0.67
     ExecuteAsync
    0.66
     AssemblyProduct
    0.66
    principalTable
    0.65
    Activations Density 0.549%

    No Known Activations