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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. 5719
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    names of medical professionals or institutions

    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
    AndEndTag
    -0.58
     StringTokenizer
    -0.56
     ویکی‌پدی
    -0.54
     pinulongan
    -0.53
    istoitu
    -0.51
     autorytatywna
    -0.51
    存于互联网档案馆
    -0.50
     незавершена
    -0.49
    GeneratedCode
    -0.49
    StreetMap
    -0.49
    POSITIVE LOGITS
     Tata
    0.49
     indi
    0.45
     tata
    0.41
     Asian
    0.39
     Apollo
    0.39
    Tata
    0.39
     Indian
    0.39
     Indo
    0.38
     Sahara
    0.37
     Wel
    0.36
    Activations Density 0.217%

    No Known Activations