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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 9908
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    Explanations

    terms and phrases related to medical contexts and healthcare

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

    Mention of medical related terms

    np_acts-logits-general · gemini-2.0-flash

    medical and patient care

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nonUne
    -0.54
     betweenstory
    -0.53
     Infórmanos
    -0.48
    yargs
    -0.48
     pajero
    -0.46
     devoirs
    -0.45
     StringTokenizer
    -0.44
     climatique
    -0.43
     ökolog
    -0.43
     opérations
    -0.42
    POSITIVE LOGITS
     healthcare
    0.97
     medical
    0.93
     patient
    0.93
     patients
    0.90
     Healthcare
    0.87
     clinical
    0.85
     Medical
    0.84
    Healthcare
    0.84
     hospitals
    0.84
     Patient
    0.84
    Activations Density 3.032%

    No Known Activations