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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. 99114
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    Explanations

    references to specific brands and products

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

    retail store 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
    MigrationBuilder
    -0.79
     EconPapers
    -0.73
    évaluateur
    -0.67
    Personendaten
    -0.64
     kasarigan
    -0.63
    featureID
    -0.57
     Jefus
    -0.56
    pushFollow
    -0.56
    SharedDtor
    -0.54
    __*/
    -0.52
    POSITIVE LOGITS
     Macy
    0.58
     Kohl
    0.54
     Nordstrom
    0.52
    fashion
    0.50
     fashion
    0.48
     Fashion
    0.47
     Sephora
    0.47
    Fashion
    0.45
     retailer
    0.44
     boutiques
    0.41
    Activations Density 0.011%

    No Known Activations