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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 53816
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    Explanations

    references to different types of flour and meals used in cooking

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

    flour and meal

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CPtr
    -0.54
    mitian
    -0.53
    expandindo
    -0.52
    __(/*!
    -0.52
    Portály
    -0.50
     EconPapers
    -0.50
    ſcher
    -0.50
     szcz
    -0.49
    ittarius
    -0.49
    клопе
    -0.48
    POSITIVE LOGITS
     harina
    0.77
     flour
    0.74
    Flour
    0.70
    meal
    0.68
     farine
    0.68
     Flour
    0.66
    Meal
    0.63
    flour
    0.58
     farina
    0.57
     meal
    0.57
    Activations Density 0.008%

    No Known Activations