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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 16399
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    INDEX
    Explanations

    terms related to medical treatment and healthcare within an employment context

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

    correctional medical care

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    EndGlobalSection
    -0.45
    UnusedPrivate
    -0.38
     iNdEx
    -0.38
     Wikimedijinoj
    -0.32
    GIVEREF
    -0.32
    OCCURRED
    -0.32
    GeneratedMessage
    -0.31
     onBind
    -0.31
    脚注の使い方
    -0.30
    matchCondition
    -0.30
    POSITIVE LOGITS
     medical
    2.00
    medical
    1.79
    Medical
    1.73
     Medical
    1.64
     medically
    1.62
     médical
    1.58
     MEDICAL
    1.56
     médicale
    1.53
     medizin
    1.52
    MEDICAL
    1.50
    Activations Density 0.108%

    No Known Activations