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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. 54212
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    INDEX
    Explanations

    specific plant-based food items and ingredients

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

    lentils, quinoa, legumes, grains

    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
     propOrder
    -0.77
    chartInstance
    -0.61
     "..\..\
    -0.54
     plufieurs
    -0.53
     themſelves
    -0.52
     ſtre
    -0.52
     '{@
    -0.51
     GetEnumerator
    -0.51
    @[+][
    -0.51
    ToProps
    -0.50
    POSITIVE LOGITS
     lentils
    1.57
     lentil
    1.54
     quinoa
    1.20
     Quinoa
    1.05
    entil
    0.92
     Lenti
    0.84
     chickpeas
    0.81
     millet
    0.71
     couscous
    0.63
     legumes
    0.62
    Activations Density 0.002%

    No Known Activations