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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 6984
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    Explanations

    different types of soups and noodle dishes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_8/width_16k/average_l0_99
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    usepackage
    -0.31
     ***!
    -0.29
    vskip
    -0.27
     PM
    -0.26
    zką
    -0.26
    gegangen
    -0.26
    emballage
    -0.26
    TokenName
    -0.25
     ausz
    -0.25
    tikzpicture
    -0.24
    POSITIVE LOGITS
     soup
    1.38
     Soup
    1.33
    Soup
    1.25
     soups
    1.17
    soup
    1.14
     broth
    1.06
     Broth
    0.97
     stew
    0.87
     soupe
    0.82
    スープ
    0.79
    Activations Density 0.261%

    No Known Activations