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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. 23675
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    INDEX
    Explanations

    terms associated with Vedic culture and vestibular conditions

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

    vestibular, vested, Vesta

    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
    ndice
    -0.45
    Xna
    -0.40
     mier
    -0.38
    JKLM
    -0.37
     Munro
    -0.36
     Greif
    -0.36
    Jeep
    -0.35
    Condolences
    -0.35
     đổi
    -0.34
    Problemas
    -0.34
    POSITIVE LOGITS
     vesti
    1.11
     Vesti
    1.07
     Veda
    1.03
    Vesti
    0.99
     Vesta
    0.95
     Vedic
    0.93
     Vedas
    0.90
     vestibular
    0.89
     Ved
    0.87
    vesti
    0.81
    Activations Density 0.010%

    No Known Activations