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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 5-GEMMASCOPE-RES-16K
    11. 9469
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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 @ 5-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_5/width_16k/average_l0_68
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.5.hook_resid_post
    Hook Layer
    5
    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
    -0.89
    complexContent
    -0.86
    BeginInit
    -0.81
     Infin
    -0.81
     mariée
    -0.81
     Rumania
    -0.78
     Saxons
    -0.78
     Suprema
    -0.77
     cuánt
    -0.76
     myſelf
    -0.75
    POSITIVE LOGITS
     City
    2.23
     city
    2.14
     CITY
    2.02
    City
    1.89
     cities
    1.81
    city
    1.79
    CITY
    1.75
     Cities
    1.65
    cities
    1.58
    Cities
    1.57
    Activations Density 0.034%

    No Known Activations