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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. 12769
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    Explanations

    references to medical facilities and healthcare scenarios

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

    medical institutions and locations, particularly hospitals and medical centers.

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

    medical institutions and healthcare facilities.

    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
    الحياه
    -0.51
     Wikimedijinoj
    -0.48
    ">//
    -0.45
     ujednoznacz
    -0.45
    Derbyniad
    -0.44
    뀜
    -0.44
    niająca
    -0.42
     Photocase
    -0.40
    LayoutPanel
    -0.40
    ViewImports
    -0.40
    POSITIVE LOGITS
     hospital
    1.72
     hospitals
    1.54
     Hospital
    1.52
    Hospital
    1.48
    hospital
    1.45
     Hospitals
    1.38
     HOSPITAL
    1.30
    Hospitals
    1.28
    hôpital
    1.09
     zieken
    1.09
    Activations Density 0.274%

    No Known Activations