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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. 12996
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    Explanations

    references to airport-related activities and discussions

    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
     Metzger
    -0.42
     libremente
    -0.41
     ayuntamiento
    -0.39
     águas
    -0.39
     acudi
    -0.38
     librement
    -0.38
    deutig
    -0.38
     Jerusalén
    -0.38
     sih
    -0.38
     precisión
    -0.37
    POSITIVE LOGITS
     airline
    0.92
     airlines
    0.85
     Airline
    0.81
     flights
    0.74
     Lufthansa
    0.73
     passengers
    0.72
    thansa
    0.72
    Airlines
    0.71
    airline
    0.71
     Airlines
    0.70
    Activations Density 0.195%

    No Known Activations