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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 7595
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    Explanations

    various types of food-related phrases and formatting elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/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.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ########.
    -0.49
    OGND
    -0.47
     saurait
    -0.43
    thâu
    -0.42
     fusca
    -0.42
     noastre
    -0.40
     
    -0.39
    tableFuture
    -0.38
    BeginContext
    -0.38
     resourceCulture
    -0.37
    POSITIVE LOGITS
    ご飯
    0.50
    醤油
    0.49
    パスタ
    0.49
     Geste
    0.49
    チーズ
    0.48
    肉の
    0.48
    野菜
    0.48
    お肉
    0.48
    スープ
    0.47
    レモン
    0.47
    Activations Density 0.019%

    No Known Activations