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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. 31-GEMMASCOPE-RES-131K
    11. 41735
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    INDEX
    Explanations

    references to brand names and their associated products or services

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

    brand name and fame

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    |}{}
    -0.36
     resourceCulture
    -0.34
     @"/
    -0.33
     intptr
    -0.32
    GetEnumerator
    -0.32
     defaultstate
    -0.31
    ))->
    -0.31
    يميديا
    -0.30
    liothèque
    -0.30
    makedirs
    -0.29
    POSITIVE LOGITS
     brands
    1.40
     brand
    1.38
    brand
    1.35
    brands
    1.31
    有名
    1.23
     famous
    1.23
     branded
    1.22
     name
    1.20
    Brands
    1.18
    知名
    1.18
    Activations Density 0.096%

    No Known Activations