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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. 39414
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    Explanations

    references to medicinal products or substances

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

    medic, medically, medicament, medicated

    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
    anship
    -0.48
    createView
    -0.47
     Création
    -0.45
    Geschiedenis
    -0.45
     Unwin
    -0.43
    manship
    -0.43
    Collaboration
    -0.42
     للاسماء
    -0.42
     Détails
    -0.41
     getLocation
    -0.41
    POSITIVE LOGITS
     Medic
    1.89
     medic
    1.84
    Medic
    1.44
    medic
    1.42
     MEDIC
    1.25
     Medi
    0.86
    Medica
    0.83
     Medica
    0.80
     MED
    0.80
     Medico
    0.77
    Activations Density 0.004%

    No Known Activations