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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. 2640
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    Explanations

    references to comfort food and eating habits related to emotional well-being

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

    unhealthy food and weight gain

    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
    PMailer
    -0.47
    Tax
    -0.43
     tax
    -0.41
     keper
    -0.40
    tax
    -0.40
     ruote
    -0.40
    EFIAPI
    -0.40
    XmlAccessorType
    -0.39
     dumne
    -0.39
     Tax
    -0.39
    POSITIVE LOGITS
     binge
    0.99
     eating
    0.85
     snack
    0.82
     bing
    0.82
     snacks
    0.80
    eating
    0.77
     indulgence
    0.77
     chocolate
    0.75
     glutton
    0.73
     indul
    0.72
    Activations Density 0.039%

    No Known Activations