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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 2881
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    INDEX
    Explanations

    mentions of physical goods and items in the context of commerce and transactions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Kriege
    -0.44
     esfuerzos
    -0.41
     Schles
    -0.41
     Kapelle
    -0.40
     Meksiko
    -0.39
     Urlaub
    -0.38
     recub
    -0.38
     autobuses
    -0.38
     suun
    -0.38
     aparcamiento
    -0.38
    POSITIVE LOGITS
     goods
    1.23
     Goods
    1.06
     goederen
    0.98
     items
    0.93
    物品
    0.92
    goods
    0.91
     objects
    0.91
     GOODS
    0.89
    Goods
    0.88
     commodities
    0.82
    Activations Density 0.763%

    No Known Activations