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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. 15583
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    INDEX
    Explanations

    references to Italian culture, particularly in relation to cuisine

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

    Italy or Italian cuisine

    np_acts-logits-general · gemini-2.0-flash

    Italian words and concepts

    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
    Negative Logits
     Socorro
    -0.51
     Chama
    -0.46
     Patro
    -0.46
     Recife
    -0.46
     Monfieur
    -0.42
     coscienza
    -0.42
     quantization
    -0.41
     Quan
    -0.41
    Mauricio
    -0.41
     Reine
    -0.40
    POSITIVE LOGITS
    Italian
    1.00
     Italian
    1.00
     Italy
    0.98
    Italy
    0.96
     Italians
    0.89
     Itália
    0.85
     Italien
    0.84
     italianos
    0.84
     italian
    0.84
     italy
    0.82
    Activations Density 0.347%

    No Known Activations