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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 66108
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    INDEX
    Explanations

    attributes and characteristics of clothing and apparel

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

    products and clothing

    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
     embaj
    -0.41
    borderBottom
    -0.41
     modelAndView
    -0.38
     denuncias
    -0.38
     snout
    -0.38
    تيجة
    -0.37
     tarifas
    -0.37
     slippage
    -0.36
     padrões
    -0.36
     évêque
    -0.36
    POSITIVE LOGITS
    PyExc
    0.47
    AddTagHelper
    0.44
    oredCriteria
    0.43
    
    0.42
    Referencie
    0.42
    Vidite
    0.41
    expiresIn
    0.41
    rizio
    0.40
     Rica
    0.39
     khảo
    0.39
    Activations Density 0.073%

    No Known Activations