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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. 117401
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    INDEX
    Explanations

    references to popular coffee and retail brands

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

    brands and names

    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
    Notae
    -0.46
    nonatomic
    -0.42
    先日
    -0.40
     divisors
    -0.40
     Jie
    -0.39
     rigs
    -0.39
    /*
    -0.38
     aims
    -0.38
     rheumatic
    -0.36
    RegressionTest
    -0.35
    POSITIVE LOGITS
     Starbucks
    2.22
    Starbucks
    2.17
     starbucks
    1.73
    ulemon
    0.90
    bucks
    0.82
     cafetería
    0.82
     Walgreens
    0.80
    McDonald
    0.75
     McDonalds
    0.74
     Dunkin
    0.73
    Activations Density 0.001%

    No Known Activations