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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 12251
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    Explanations

    references to cities and urban environments, particularly focusing on their characteristics and attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     agricole
    -0.56
     agricoles
    -0.56
    LabelTagHelper
    -0.54
     campesinos
    -0.53
     Rural
    -0.50
     ویکی‌پدیا
    -0.49
     fazenda
    -0.49
     ujednoznacz
    -0.49
     estekak
    -0.48
    Jeografia
    -0.48
    POSITIVE LOGITS
     city
    1.45
     urban
    1.15
    city
    1.11
     City
    1.11
    City
    1.10
     CITY
    1.07
    CITY
    1.02
     stads
    0.98
     ciudad
    0.97
     städ
    0.95
    Activations Density 0.779%

    No Known Activations