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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. 88011
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    INDEX
    Explanations

    proper nouns related to individuals and brands in the fashion industry

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

    designer names

    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
     enfans
    -0.58
     rapides
    -0.58
     énergé
    -0.57
     humaine
    -0.56
     sanitaires
    -0.55
     unterkunft
    -0.53
     secondaires
    -0.52
     régionale
    -0.51
     plastiques
    -0.48
     juridiques
    -0.48
    POSITIVE LOGITS
     designer
    0.85
     designers
    0.82
     fashion
    0.78
    fashion
    0.78
    designer
    0.73
     Designers
    0.69
     brand
    0.69
     Fashion
    0.69
     Designer
    0.69
     brands
    0.67
    Activations Density 0.023%

    No Known Activations