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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 2195
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    Explanations

    mentions of cities and their related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "city" or "citizenship"

    np_acts-logits-general · gemini-2.0-flash

    city or citizenship

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Noruega
    -0.50
     României
    -0.45
    ideae
    -0.44
    <!--
    -0.44
     I
    -0.41
    कर्
    -0.41
     dotyczące
    -0.41
     Norwegian
    -0.41
    al
    -0.41
     trasero
    -0.40
    POSITIVE LOGITS
     getCity
    1.20
    City
    1.13
     City
    1.11
    getCity
    1.09
     city
    1.09
    cityId
    1.01
    cityName
    0.99
     CITY
    0.98
    city
    0.93
    CITY
    0.93
    Activations Density 0.124%

    No Known Activations