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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 13828
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    Explanations

    specific types of noodles and noodle-related dishes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gardes
    -0.40
     Reſ
    -0.38
    nikahan
    -0.36
     poffe
    -0.35
    Xna
    -0.35
    zusch
    -0.34
    Bioaccumulative
    -0.34
     ſtre
    -0.34
     overras
    -0.34
    AntiForgeryToken
    -0.33
    POSITIVE LOGITS
     noodle
    1.32
     noodles
    1.30
     Noodles
    1.22
     pasta
    1.19
     Pasta
    1.13
    Pasta
    1.10
     Noodle
    1.08
    pasta
    1.04
     spaghetti
    1.03
     pastas
    1.02
    Activations Density 0.199%

    No Known Activations