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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 13240
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    Explanations

    specific types of food and their nutritional components

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    transQ
    -0.45
    Brainz
    -0.43
     conceptu
    -0.42
    ThemeOverlay
    -0.41
    ształ
    -0.41
     guerrero
    -0.40
    pushFollow
    -0.40
     subsidi
    -0.40
     جهاز
    -0.40
    ypeł
    -0.40
    POSITIVE LOGITS
     legume
    0.61
     legumes
    0.55
     soybean
    0.55
     soy
    0.54
    gume
    0.54
    大豆
    0.53
     lentils
    0.52
     soybeans
    0.52
     lentil
    0.50
     chickpeas
    0.50
    Activations Density 0.194%

    No Known Activations