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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 9222
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    Explanations

    mentions of purchasing experiences and related items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flucht
    -0.36
     nacionalidad
    -0.32
    Jegyzetek
    -0.32
     bestens
    -0.31
     aislados
    -0.31
     Umfang
    -0.31
     Comunicação
    -0.31
     Verfahrens
    -0.31
     olup
    -0.31
    nadores
    -0.30
    POSITIVE LOGITS
     Walmart
    1.68
     Target
    1.52
     Costco
    1.50
    Walmart
    1.48
     walmart
    1.45
     Walgreens
    1.40
     CVS
    1.27
     Amazon
    1.26
     Wal
    1.25
    Target
    1.24
    Activations Density 0.357%

    No Known Activations