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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. 6815
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    Explanations

    references to brands and marketing within the context of multicultural demographics

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

    brands and marketing

    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
     atof
    -0.44
     ویکی‌پدیا
    -0.41
    RectangleBorder
    -0.41
    Injection
    -0.39
     getPrice
    -0.38
     stderr
    -0.38
     svn
    -0.38
     stdout
    -0.38
    زان
    -0.37
     flot
    -0.37
    POSITIVE LOGITS
     millennials
    0.59
     influencer
    0.56
     digital
    0.56
    enterOuterAlt
    0.54
    msgTypes
    0.54
    homonymie
    0.52
    ⓧ
    0.51
     brands
    0.51
     Influencer
    0.50
     purpoſe
    0.49
    Activations Density 0.055%

    No Known Activations