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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. 11975
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    Explanations

    references to different types of pasta and related culinary terms

    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
    Hentet
    -0.49
    istoitu
    -0.43
    garek
    -0.43
     Lightboxes
    -0.42
    astify
    -0.41
    AnimationsModule
    -0.40
    twimg
    -0.40
     overras
    -0.40
     Contreras
    -0.40
     dAtA
    -0.40
    POSITIVE LOGITS
     noodle
    0.80
     pasta
    0.78
     noodles
    0.77
     Noodles
    0.75
     Pasta
    0.74
     Spaghetti
    0.70
     spaghetti
    0.69
    Pasta
    0.67
    Spaghetti
    0.63
     Noodle
    0.60
    Activations Density 0.248%

    No Known Activations