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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. 110584
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    Explanations

    foods and cooking methods related to Malaysian cuisine

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

    stews, slow cooking, and sauces

    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
     kasarigan
    -0.50
    壽司
    -0.46
     寿司
    -0.46
    databind
    -0.42
    vestido
    -0.40
     Trident
    -0.40
    +#+#
    -0.38
     Arta
    -0.38
    inigungs
    -0.38
    entingan
    -0.37
    POSITIVE LOGITS
     stew
    0.81
     simmer
    0.68
     casserole
    0.63
     Stew
    0.61
     slow
    0.59
    MLLoader
    0.58
     Slow
    0.56
    Slow
    0.56
     pot
    0.55
    🥘
    0.54
    Activations Density 0.038%

    No Known Activations