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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 6846
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    Explanations

    identifiers related to people, places, and organizations, particularly in the context of films and sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للاسماء
    -0.60
    rungsseite
    -0.59
    श्लेषण
    -0.57
     الحره
    -0.54
    इटम
    -0.44
     («
    -0.41
    setCharacter
    -0.40
    ತ್ತು
    -0.40
     eşofman
    -0.40
     لئے
    -0.40
    POSITIVE LOGITS
     Bengaluru
    0.92
     Maruti
    0.89
     Delhi
    0.86
     crores
    0.84
     ₹
    0.83
     India
    0.81
    India
    0.81
     crore
    0.81
     lakh
    0.81
    ₹
    0.80
    Activations Density 5.435%

    No Known Activations