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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 17-GEMMASCOPE-RES-16K
    11. 8506
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    references to cities and urban infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 17-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_17/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.17.hook_resid_post
    Hook Layer
    17
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RenderAtEndOf
    -0.80
    URLException
    -0.80
    ंदीखरीदारी
    -0.79
     provinces
    -0.74
    XmlAccessorType
    -0.70
    djangoproject
    -0.65
     Bundes
    -0.62
     Provinces
    -0.61
     NATIONAL
    -0.61
    Deutschland
    -0.60
    POSITIVE LOGITS
     municipal
    1.04
     Municipal
    0.88
     Mayor
    0.87
     Town
    0.87
     ordinance
    0.87
     mayoral
    0.86
     city
    0.86
     municip
    0.86
     City
    0.85
    Mayor
    0.84
    Activations Density 0.276%

    No Known Activations