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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. 66614
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    INDEX
    Explanations

    designer brand names and high-fashion terms

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

    Chanel, Dior, prefrontal cortex

    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
     Infórmanos
    -0.68
     يتيمه
    -0.52
     betweenstory
    -0.50
    addPreferredGap
    -0.47
    icksburg
    -0.46
     副本
    -0.45
    surate
    -0.45
     fundos
    -0.45
     RVA
    -0.45
     doInBackground
    -0.44
    POSITIVE LOGITS
     Chanel
    2.22
    Chanel
    1.95
     chanel
    1.38
    chanel
    1.13
     CHAN
    0.90
     Dior
    0.73
     tweed
    0.70
     Prada
    0.68
    CHAN
    0.67
    Dior
    0.66
    Activations Density 0.005%

    No Known Activations