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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 14066
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    Explanations

    references to scheduling appointments and consultations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    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
    -0.59
    rungsseite
    -0.56
    InputBorder
    -0.53
     tiguan
    -0.49
     InputDecoration
    -0.44
    ilanth
    -0.41
    culable
    -0.40
    tomation
    -0.40
     ivelany
    -0.39
     AssemblyCompany
    -0.38
    POSITIVE LOGITS
     appointment
    2.23
     appointments
    2.17
     Appointment
    1.91
     Appointments
    1.90
    Appointment
    1.77
    appointment
    1.76
    Appointments
    1.73
     APPOINT
    1.73
    appointments
    1.69
     appoint
    1.55
    Activations Density 0.158%

    No Known Activations