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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. 12600
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    specific Kannada characters and names

    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
    Not in Any Lists

    No Comments

    Negative Logits
     MessageBoxIcon
    -0.50
    Życiorys
    -0.47
     مشارکت‌کنندگان
    -0.45
    IntoConstraints
    -0.43
    unknownFields
    -0.42
     TextInputType
    -0.42
     AssemblyVersion
    -0.42
    mybatisplus
    -0.41
    hdys
    -0.41
    teht
    -0.39
    POSITIVE LOGITS
     Karnataka
    0.75
     Bangalore
    0.72
     Kannada
    0.72
     Mysore
    0.70
     Bengaluru
    0.68
     Mys
    0.67
    Mys
    0.66
    Karn
    0.58
     Bel
    0.56
     mys
    0.54
    Activations Density 0.192%

    No Known Activations