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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. 10898
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    Explanations

    specific references to airports and airline travel

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

    air travel

    np_acts-logits-general · gemini-2.0-flash

    airport and airline travel

    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
     aprendizagem
    -0.46
    Descripció
    -0.42
     garagem
    -0.38
    deutig
    -0.38
     Gegend
    -0.37
     bénévol
    -0.37
     reflexão
    -0.36
     lære
    -0.36
     riego
    -0.35
     águas
    -0.35
    POSITIVE LOGITS
     airline
    1.28
     airlines
    1.23
     Airline
    1.11
     airport
    1.07
    airline
    1.05
     Airlines
    1.04
     passengers
    1.03
    Airline
    1.02
     airports
    1.00
     IATA
    0.99
    Activations Density 0.199%

    No Known Activations