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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 16-GEMMASCOPE-RES-16K
    6. 7783
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    INDEX
    Explanations

    actions related to scheduling and booking appointments or reservations

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

    Booking or scheduling

    np_acts-logits-general · gemini-2.0-flash

    booking, reservations, scheduling

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    }))
    
    -0.54
    djangoproject
    -0.54
    </thead>
    -0.54
    writeFieldEnd
    -0.52
    )」
    -0.52
    RUnlock
    -0.51
    ))=
    -0.51
     paramString
    -0.50
    }{*}{}
    -0.50
    sizeCache
    -0.49
    POSITIVE LOGITS
     reservations
    0.66
     reserving
    0.65
     reservation
    0.65
     bookings
    0.64
    bookings
    0.63
    SLOT
    0.63
     Reservation
    0.62
     Reservations
    0.61
    windowFixed
    0.61
     rezer
    0.61
    Activations Density 0.088%

    No Known Activations