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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 10719
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    references to consumer products and shopping experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    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
    -0.40
    Jegyzetek
    -0.35
     Comunicação
    -0.34
     sorpresas
    -0.33
     invitaciones
    -0.32
     aislados
    -0.32
     bestens
    -0.32
     Standort
    -0.32
     Verfahrens
    -0.32
     nacionalidad
    -0.32
    POSITIVE LOGITS
     Walmart
    1.69
     Target
    1.51
    Walmart
    1.50
     Costco
    1.48
     walmart
    1.47
     Walgreens
    1.41
     CVS
    1.32
     Wal
    1.27
     Starbucks
    1.26
    Target
    1.23
    Activations Density 0.369%

    No Known Activations