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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 8403
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    INDEX
    Explanations

    names of places and geographic locations

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

    Peru (or Peruvian)

    np_acts-logits-general · gemini-2.0-flash

    Peru, Peruvian, Lima

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Texas
    -0.43
    TokenNameLPAREN
    -0.43
     חיצוניים
    -0.42
    Texas
    -0.42
     plug
    -0.40
     cocco
    -0.38
     Cork
    -0.38
     Garza
    -0.37
     Golfo
    -0.36
     texas
    -0.36
    POSITIVE LOGITS
     Peruvian
    1.06
     Peru
    1.02
    Peru
    0.99
     peruan
    0.93
     Lima
    0.85
     Perú
    0.85
     peru
    0.83
     peruano
    0.81
    Lima
    0.81
    Perú
    0.80
    Activations Density 0.045%

    No Known Activations