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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 53540
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    Explanations

    references to topical applications or treatments in the context of medical or pharmaceutical discussions

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

    medical topical applications

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     NSCoder
    -0.65
     Calculation
    -0.60
     lagerfeld
    -0.60
    heritance
    -0.59
    thentication
    -0.58
     Calculations
    -0.57
     zirc
    -0.57
     Berechnung
    -0.57
     Compressed
    -0.56
    InstrumentedTest
    -0.56
    POSITIVE LOGITS
     topical
    1.95
     Topical
    1.62
    Top
    0.76
     TOP
    0.74
     Top
    0.73
    top
    0.68
    TOP
    0.68
     Topf
    0.68
    topic
    0.67
     topi
    0.67
    Activations Density 0.006%

    No Known Activations