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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. 5167
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    terms related to scheduling appointments and meetings

    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
     suiker
    -0.33
    Décès
    -0.33
     wijn
    -0.32
    IsMutable
    -0.32
     šir
    -0.31
     verhalen
    -0.30
     cerveja
    -0.30
     fisuras
    -0.30
    enfance
    -0.30
     calorías
    -0.30
    POSITIVE LOGITS
     scheduled
    0.93
     appointments
    0.87
     schedule
    0.86
     appointment
    0.79
     schedules
    0.78
    appointments
    0.77
     Appointments
    0.76
     rescheduled
    0.75
     scheduling
    0.75
    scheduled
    0.74
    Activations Density 0.207%

    No Known Activations