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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 1338
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    INDEX
    Explanations

    fields related to flight and travel data

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

    Handling of travel-related data and requests

    np_acts-logits-general · gemini-2.0-flash

    travel booking year

    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
     تضيفلها
    -0.50
    findpost
    -0.48
    ContentAsync
    -0.47
    новништво
    -0.44
     насељу
    -0.44
     ModelExpression
    -0.44
    SuccessListener
    -0.43
     soud
    -0.42
    Personendaten
    -0.41
    PageContext
    -0.40
    POSITIVE LOGITS
     booking
    0.81
     travel
    0.76
     Travel
    0.74
     bookings
    0.69
     Booking
    0.69
    Travel
    0.68
     traveller
    0.67
     Expedia
    0.64
     travellers
    0.64
    booking
    0.63
    Activations Density 0.112%

    No Known Activations