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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 12255
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    Explanations

    references to sneakers, particularly the Air Jordan brand

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

    brand names and product references, particularly athletic and lifestyle brands like Nike, Jordan, Adidas, Under Armour, and Supra.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    richTextPanel
    -0.35
     Kowalski
    -0.35
    évêque
    -0.32
     tịch
    -0.31
     cyl
    -0.31
     सं
    -0.30
     cylinders
    -0.29
    ModelAdmin
    -0.29
     CWE
    -0.29
     economic
    -0.29
    POSITIVE LOGITS
     Nike
    0.80
    Nike
    0.71
     nike
    0.68
    nike
    0.65
     LeBron
    0.57
     basketball
    0.57
     flyknit
    0.57
    ナイキ
    0.56
    woosh
    0.55
     adidas
    0.55
    Activations Density 0.063%

    No Known Activations