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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 8459
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    references to cities and urban areas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     myſelf
    -1.01
     themſelves
    -0.96
     Monfieur
    -0.90
     AssemblyCompany
    -0.85
     Efq
    -0.84
     Majefty
    -0.83
    complexContent
    -0.83
     RSSSF
    -0.80
     pleaſure
    -0.80
     ſeveral
    -0.80
    POSITIVE LOGITS
     city
    4.35
    city
    3.74
     City
    3.72
    City
    3.48
     CITY
    3.38
    CITY
    3.17
     cities
    2.79
     ciudad
    2.71
     Stadt
    2.53
     cidade
    2.38
    Activations Density 0.047%

    No Known Activations