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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 13264
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    Explanations

    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 @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_8/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     themſelves
    -0.95
     myſelf
    -0.86
    UrlResolution
    -0.85
     Rumania
    -0.83
     Huguen
    -0.82
     mariée
    -0.78
     Suprema
    -0.77
    complexContent
    -0.76
     Svensk
    -0.76
     Kendal
    -0.75
    POSITIVE LOGITS
     city
    1.87
     City
    1.80
     cities
    1.76
     CITY
    1.63
     Cities
    1.54
    city
    1.49
    City
    1.48
    cities
    1.47
    Cities
    1.45
     getCity
    1.43
    Activations Density 0.053%

    No Known Activations