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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 2517
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    INDEX
    Explanations

    references to travel-related services and data structures

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

    hotels, flights, or rentals

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ब्रेकडाउन
    -0.56
    niająca
    -0.54
    تقاوى
    -0.53
    styleType
    -0.53
     estekak
    -0.53
    AsUp
    -0.51
     Chwiliwch
    -0.50
    Personendaten
    -0.49
    hány
    -0.48
     שוליים
    -0.47
    POSITIVE LOGITS
     hotels
    0.65
     booking
    0.65
     bookings
    0.60
     hotel
    0.60
     flights
    0.57
     tickets
    0.54
     airline
    0.53
     prenotazione
    0.50
     Hotels
    0.50
     hôtels
    0.49
    Activations Density 0.016%

    No Known Activations