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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. 6974
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    INDEX
    Explanations

    references to service quality and staff interactions in reviews

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

    customer interaction, staff, or service

    np_acts-logits-general · gemini-2.0-flash

    staff politeness and service

    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
    enumi
    -0.56
    ographs
    -0.52
    exitRule
    -0.51
    parel
    -0.49
    BeginContext
    -0.47
    blurRadius
    -0.45
     risico
    -0.45
    Captor
    -0.45
    ridescent
    -0.45
     kasarigan
    -0.44
    POSITIVE LOGITS
     staff
    0.69
     service
    0.62
    服務
    0.57
     staffs
    0.56
     obsługi
    0.55
    staff
    0.54
     Service
    0.53
    service
    0.53
     friendly
    0.52
     clerks
    0.52
    Activations Density 0.173%

    No Known Activations