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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 31-GEMMASCOPE-RES-131K
    6. 91263
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    Explanations

    descriptors and characteristics of food, particularly in cooking contexts

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

    crispy, crunchy, golden food textures

    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
     Jefus
    -0.63
     nakalista
    -0.63
     Monfieur
    -0.59
     Geiſt
    -0.56
     autorytatywna
    -0.55
     Efq
    -0.55
    StoryboardSegue
    -0.55
    romyalgia
    -0.55
     Perſ
    -0.54
    Identyfik
    -0.54
    POSITIVE LOGITS
     crispy
    0.90
     crunchy
    0.73
     crust
    0.73
     crisp
    0.72
    Crispy
    0.67
    crispy
    0.64
     Crispy
    0.62
     outer
    0.59
     crackling
    0.56
     cris
    0.52
    Activations Density 0.019%

    No Known Activations