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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 49482
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    INDEX
    Explanations

    references to types of retail stores and shopping environments

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

    convenience stores and shops

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ukone
    -0.50
     obiettivi
    -0.44
    StartTag
    -0.44
    loit
    -0.43
     EconPapers
    -0.42
     techniczne
    -0.42
    Välislingid
    -0.41
    Clik
    -0.41
     мәкал
    -0.41
    bewerken
    -0.41
    POSITIVE LOGITS
    コンビニ
    0.61
     convenience
    0.61
     shopkeeper
    0.60
    convenience
    0.60
     supermarket
    0.58
     store
    0.57
     grocery
    0.56
     shop
    0.56
    stores
    0.55
     resourceCulture
    0.55
    Activations Density 0.005%

    No Known Activations