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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 8848
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    Explanations

    descriptors of food quality and culinary experiences

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

    ethnic Chinese dishes

    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
    Not in Any Lists

    No Comments

    Negative Logits
     朝食
    -0.47
    >{@
    -0.46
    Holstein
    -0.45
    SpringBootTest
    -0.44
     Kaffee
    -0.42
     esternos
    -0.42
     breakfast
    -0.42
     coffee
    -0.41
    早餐
    -0.41
     colazione
    -0.41
    POSITIVE LOGITS
     Chinese
    0.74
     Asians
    0.71
     ethnic
    0.69
    Authentic
    0.69
     Asian
    0.69
    Ethnic
    0.68
     asiatique
    0.67
     Oriental
    0.66
    authentic
    0.65
     authentic
    0.64
    Activations Density 0.024%

    No Known Activations