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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 5269
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    Explanations

    references to healthcare providers or medical professionals, particularly in the context of patient care and treatment

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

    Medical professionals: doctor, physician, optometrist

    np_acts-logits-general · gemini-2.0-flash

    patient's medical provider

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 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
     PATIENT
    -0.63
     patient
    -0.61
     ExecuteAsync
    -0.58
     Patients
    -0.57
     malades
    -0.56
    PATIENT
    -0.56
     patients
    -0.55
    neous
    -0.55
    WaitGroup
    -0.54
     paciente
    -0.54
    POSITIVE LOGITS
     doctor
    1.06
     Doctor
    0.90
     doc
    0.89
     primary
    0.88
     doctors
    0.84
     docs
    0.83
     dentist
    0.81
     pediatrician
    0.80
     GP
    0.79
     physician
    0.79
    Activations Density 0.304%

    No Known Activations