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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. 89649
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    Explanations

    phrases related to medical conditions, diagnoses, and their prevalence

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

    common vs rare

    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
     defaultstate
    -0.65
     GenerationType
    -0.61
    ніципалі
    -0.52
     disambiguazione
    -0.52
     AssemblyTitle
    -0.52
    reactstrap
    -0.51
     pinulongan
    -0.51
    PhysRevD
    -0.50
     AppDelegate
    -0.49
    getActiveSheet
    -0.49
    POSITIVE LOGITS
     frequent
    1.19
     fréqu
    1.06
     frecuente
    1.03
    frequent
    1.03
     frequ
    1.02
     frequently
    1.02
     rare
    0.97
     frequency
    0.95
     common
    0.95
     rarer
    0.93
    Activations Density 0.131%

    No Known Activations