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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. 2270
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    Explanations

    references to the city of Milan or its variations in context

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    Milan, Fulton, Munich, Miy, Axel

    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
    Negative Logits
     tiež
    -0.33
    füh
    -0.33
    ighorn
    -0.32
     të
    -0.31
     stavu
    -0.31
     bề
    -0.30
    ремя
    -0.30
    yı
    -0.29
     baterie
    -0.28
     náš
    -0.28
    POSITIVE LOGITS
    Milan
    0.83
     Milan
    0.83
    milan
    0.71
    Milano
    0.65
     Milán
    0.65
    出版年
    0.64
    bootstrapcdn
    0.63
     yyr
    0.63
    تقاوى
    0.63
     onCreateView
    0.61
    Activations Density 0.002%

    No Known Activations