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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. 5859
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    Explanations

    high-value dining experiences and fine cuisine references

    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
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    No Comments

    Negative Logits
     ujednoznacz
    -0.58
    IContainer
    -0.57
     EconPapers
    -0.57
    delwed
    -0.57
     autorytatywna
    -0.56
    ftagPool
    -0.52
    muito
    -0.52
     gyhoeddwyd
    -0.51
     AssemblyCulture
    -0.49
    KommentareTeilen
    -0.49
    POSITIVE LOGITS
     dinner
    0.57
     dinners
    0.52
    SBATCH
    0.51
    Dinner
    0.48
     dining
    0.47
     Michelin
    0.46
    dinner
    0.44
     Dinner
    0.44
    racene
    0.42
     DINNER
    0.41
    Activations Density 0.225%

    No Known Activations