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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. 9057
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    references to retail stores and their operations

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     Administrativna
    -0.56
     Comprometido
    -0.50
     GenerationType
    -0.48
    fillType
    -0.44
    WebpackPlugin
    -0.43
     Мексичка
    -0.42
    jenige
    -0.40
    scalatest
    -0.40
     Begegn
    -0.39
     Botschaft
    -0.39
    POSITIVE LOGITS
     Sears
    0.48
     Nordstrom
    0.47
     store
    0.46
    Walmart
    0.46
    ulemon
    0.44
     Walmart
    0.44
     lenker
    0.43
    IKEA
    0.43
    store
    0.42
    BIM
    0.42
    Activations Density 0.236%

    No Known Activations