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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 12098
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    INDEX
    Explanations

    culinary techniques and preparation methods

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

    Instructions for cooking or lab procedures

    np_acts-logits-general · gemini-2.0-flash

    cooking instructions

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SequentialGroup
    -0.63
    OrBuilder
    -0.59
    UnitTesting
    -0.56
    ISupport
    -0.56
    Portály
    -0.56
    Tembelea
    -0.55
    UpInside
    -0.55
     propOrder
    -0.54
    出版年
    -0.54
    だからこそ
    -0.53
    POSITIVE LOGITS
     preferably
    0.88
    preferably
    0.71
     carefully
    0.59
     möglichst
    0.57
     Preferably
    0.56
     should
    0.56
     pastikan
    0.55
     approximately
    0.54
     thoroughly
    0.54
     gently
    0.54
    Activations Density 0.459%

    No Known Activations