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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 14776
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    Explanations

    references to airlines and their operations

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

    airlines or flights

    np_acts-logits-general · gemini-2.0-flash

    airline and flight information

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     estufa
    -0.49
     camiones
    -0.47
     caminhão
    -0.46
     camioneta
    -0.45
     boat
    -0.44
     automóviles
    -0.42
    Kanpo
    -0.42
    StatusBadRequest
    -0.41
     comunión
    -0.41
     barco
    -0.41
    POSITIVE LOGITS
     airline
    1.01
     flight
    0.98
     airlines
    0.94
     Airline
    0.91
     Airbus
    0.90
    Airline
    0.90
     Lufthansa
    0.89
     Airlines
    0.88
     Flight
    0.88
     flights
    0.84
    Activations Density 0.159%

    No Known Activations