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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. 2225
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    INDEX
    Explanations

    discussions about bicycle brake pad maintenance and material types

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

    Pairs of objects

    np_acts-logits-general · gemini-2.0-flash

    pair ofarm restsinch wheels

    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
    ChildScrollView
    -0.51
    Formats
    -0.42
    enumi
    -0.40
     للمعارف
    -0.40
    runApp
    -0.36
    Practices
    -0.35
     levier
    -0.35
     seorang
    -0.34
    TextSpan
    -0.34
     isang
    -0.34
    POSITIVE LOGITS
     cherchés
    0.69
    themselves
    0.68
    those
    0.60
    Jeografia
    0.57
    他们是
    0.56
    脚注の使い方
    0.56
     themselves
    0.55
     theyre
    0.53
     those
    0.53
     Them
    0.52
    Activations Density 0.880%

    No Known Activations