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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 95060
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    INDEX
    Explanations

    phrases or segments that emphasize material composition or quality

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

    made of materials

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tagHelperRunner
    -0.76
    SourceChecksum
    -0.71
    ArgumentParser
    -0.70
    principalColumn
    -0.64
    脚注の使い方
    -0.61
    úgó
    -0.61
     ivelany
    -0.58
     bäst
    -0.54
     CreateTagHelper
    -0.53
    getMenuInflater
    -0.52
    POSITIVE LOGITS
    采用
    0.44
    HtmlAttribute
    0.39
    Utiliz
    0.36
     using
    0.35
    採用
    0.34
    采用了
    0.33
     adult
    0.33
     Utiliz
    0.32
    TabIndex
    0.31
    มีความ
    0.31
    Activations Density 0.002%

    No Known Activations