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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 3551
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    Explanations

    indicators of customer interest and restaurant popularity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     kopling
    -0.37
    endregion
    -0.37
     desarroll
    -0.37
    IGRATION
    -0.37
     desple
    -0.34
     plazos
    -0.34
    Šaltiniai
    -0.33
    luss
    -0.33
    indépendance
    -0.33
    essentiel
    -0.33
    POSITIVE LOGITS
     RSVP
    0.68
    事前
    0.65
     reservation
    0.64
     booking
    0.64
     booked
    0.61
     Booking
    0.59
    RSVP
    0.59
    Reservations
    0.59
     bookings
    0.58
     reservations
    0.57
    Activations Density 0.186%

    No Known Activations