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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 15947
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    Explanations

    references to additives, preservatives, and contents in food and their potential health impacts

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

    health-related topics, especially around food, nutrition, and medical research.

    oai_token-act-pair · claude-3-5-haiku-20241022Triggered by @neilrathi

    discussions about food ingredients, additives, and health-related substances.

    oai_token-act-pair · claude-3-7-sonnet-20250219Triggered by @neilrathi

    words and phrases related to food additives, preservatives, and unhealthy food ingredients.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     coopération
    -0.35
    celotti
    -0.34
    OnClickListener
    -0.34
     espri
    -0.32
    ddots
    -0.32
     confident
    -0.32
    真剣
    -0.31
     illustrating
    -0.31
     obé
    -0.31
    asanjo
    -0.30
    POSITIVE LOGITS
     unhealthy
    0.93
     toxins
    0.87
     preservatives
    0.86
     carcinogenic
    0.82
     harmful
    0.82
     chemicals
    0.81
     additives
    0.79
     artificial
    0.79
     synthetic
    0.78
     toxic
    0.76
    Activations Density 0.221%

    No Known Activations