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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. 116976
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    INDEX
    Explanations

    references to company names and other business-related entities

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

    company corporations and brands

    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
     chrétienne
    -0.48
     '\\;'
    -0.47
     zijne
    -0.42
    RTEX
    -0.40
    lasma
    -0.40
    ᅠ
    -0.40
    ".
    -0.40
    henge
    -0.38
     otomatig
    -0.38
    -};
    -0.38
    POSITIVE LOGITS
    ilever
    0.68
     BRAND
    0.50
     Unilever
    0.48
    出版年
    0.47
     brand
    0.47
     retailing
    0.46
    CrossRef
    0.46
     Brands
    0.45
    BRAND
    0.45
    Brand
    0.44
    Activations Density 0.054%

    No Known Activations