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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 15127
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    Explanations

    mentions of medical professionals and healthcare-related topics

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

    medical and healthcare professionals, particularly in the context of historical and professional settings.

    oai_token-act-pair · claude-3-5-haiku-20241022Triggered by @neilrathi

    references to physicians and medical professionals.

    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
     utafitiHapana
    -0.53
    WriteBarrier
    -0.53
    ConstraintMaker
    -0.53
    openConnection
    -0.52
    Personendaten
    -0.49
     للاسماء
    -0.45
     autorytatywna
    -0.45
     '\\;'
    -0.42
    SequentialGroup
    -0.40
     StringTokenizer
    -0.40
    POSITIVE LOGITS
     medical
    1.86
     doctors
    1.73
     physicians
    1.64
     Medical
    1.61
    medical
    1.60
     hospital
    1.58
    Medical
    1.58
     hospitals
    1.55
     doctor
    1.52
     physician
    1.52
    Activations Density 1.128%

    No Known Activations