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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. 12224
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    INDEX
    Explanations

    references to athletic apparel brands

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

    sportswear 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
    UnusedPrivate
    -0.49
     telefónica
    -0.46
    AutoScale
    -0.45
    ScopeManager
    -0.44
     jantung
    -0.43
     MainAxisSize
    -0.43
     Tiefe
    -0.42
     Sprachen
    -0.40
     ajuda
    -0.40
    WireFormatLite
    -0.40
    POSITIVE LOGITS
     Puma
    1.06
     Nike
    0.98
    ulemon
    0.94
     Adidas
    0.93
    Puma
    0.93
     adidas
    0.90
    Nike
    0.87
    Adidas
    0.85
     Vans
    0.80
    adidas
    0.79
    Activations Density 0.014%

    No Known Activations