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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 9872
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    Explanations

    phrases that express strong recommendations or endorsements for products, books, or services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "recommend"

    np_acts-logits-general · gemini-2.0-flash

    giving recommendations

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    QMetaType
    -0.49
    libft
    -0.47
     Wallis
    -0.45
     Mühl
    -0.45
    ISODE
    -0.43
     contour
    -0.42
     azi
    -0.42
    QUIZ
    -0.42
    Captor
    -0.42
    AnimationsModule
    -0.42
    POSITIVE LOGITS
     recommended
    0.90
     recommend
    0.86
    recommend
    0.82
     Recommend
    0.81
     recommends
    0.81
    recommended
    0.79
     Recommended
    0.78
     recommending
    0.74
    Recommended
    0.72
     RECOMMEND
    0.71
    Activations Density 0.124%

    No Known Activations