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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 3534
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    Explanations

    phrases related to scheduling and making appointments

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

    calls to action requesting an appointment or scheduling.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.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
    脚注の使い方
    -0.57
    出版年
    -0.56
    ंदीखरीदारी
    -0.52
    rungsseite
    -0.49
    InputBorder
    -0.49
    culable
    -0.48
    adaptiveStyles
    -0.47
    
    -0.46
    webElementXpaths
    -0.44
    ']>;
    -0.43
    POSITIVE LOGITS
     appointment
    2.03
     appointments
    1.97
     Appointment
    1.79
     Appointments
    1.74
     booking
    1.73
    Appointment
    1.66
     booked
    1.65
    Appointments
    1.61
    appointment
    1.60
     bookings
    1.59
    Activations Density 0.165%

    No Known Activations