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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 11427
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    Explanations

    proper nouns, specifically names of individuals and institutions related to research and funding

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

    Korean names, universities, or companies

    np_acts-logits-general · gemini-2.0-flash

    Korea, names, and institutions

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    الحياه
    -0.44
    iomanip
    -0.32
     tolerant
    -0.31
     doPost
    -0.30
     scor
    -0.30
    ђ
    -0.30
     vis
    -0.30
     cap
    -0.29
    setLong
    -0.29
     bes
    -0.28
    POSITIVE LOGITS
     Korea
    0.92
     Koreans
    0.89
     Korean
    0.88
     Seoul
    0.84
    Korea
    0.82
    Korean
    0.80
     Corée
    0.77
    Seoul
    0.75
     korea
    0.75
     coreana
    0.74
    Activations Density 1.001%

    No Known Activations