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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. 9087
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    INDEX
    Explanations

    references to brands and branding in various contexts

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

    brand new products

    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
    δες
    -0.43
     empleos
    -0.40
    <?
    -0.40
     élo
    -0.36
     pendiente
    -0.36
    OCCURRED
    -0.35
    httphttps
    -0.34
     isolado
    -0.34
    tahankan
    -0.34
     feroit
    -0.34
    POSITIVE LOGITS
     brand
    1.20
     Brand
    1.18
    Brand
    1.08
     BRAND
    1.01
    brand
    1.01
     brands
    0.94
    BRAND
    0.93
     Brands
    0.88
    品牌
    0.87
    ブランド
    0.83
    Activations Density 0.002%

    No Known Activations