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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 9104
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    INDEX
    Explanations

    phrases related to medical negligence and regulatory practices

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

    Medical contexts, especially doctors and hospitals

    np_acts-logits-general · gemini-2.0-flash

    medical doctors and patients

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 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
     communiquez
    -0.55
     šķ
    -0.44
    rmdir
    -0.44
    oltà
    -0.44
     Normdatei
    -0.43
    SourceChecksum
    -0.42
    vige
    -0.41
    mogorov
    -0.41
     חיצוניים
    -0.41
    iniums
    -0.40
    POSITIVE LOGITS
     doctors
    2.03
     medical
    1.98
     patients
    1.87
     physicians
    1.81
     doctor
    1.78
     patient
    1.77
     hospital
    1.77
     hospitals
    1.75
    medical
    1.74
     Medical
    1.73
    Activations Density 0.952%

    No Known Activations