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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 1455
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    references to academic institutions and research organizations in Shanghai

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PAIGN
    -0.46
     Limestone
    -0.43
     Arkansas
    -0.41
    federal
    -0.39
     pret
    -0.38
    addGap
    -0.38
     Fayetteville
    -0.38
     federal
    -0.37
     ó
    -0.36
     Dayton
    -0.36
    POSITIVE LOGITS
     Mumbai
    0.87
    Mumbai
    0.80
     Shanghai
    0.73
     Johannesburg
    0.71
     mumbai
    0.70
     Bombay
    0.66
    Shanghai
    0.61
     Lagos
    0.60
     Toronto
    0.59
    ConstraintMaker
    0.58
    Activations Density 0.210%

    No Known Activations