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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. 9344
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    INDEX
    Explanations

    references to bottlenecks in systems or processes

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

    bottleneck

    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
    ="@+
    -0.47
    \{\\
    -0.44
    पया
    -0.42
    Skocz
    -0.41
    didSet
    -0.41
    
    -0.39
     날
    -0.39
    cVar
    -0.36
    webElementXpaths
    -0.36
    jupiter
    -0.36
    POSITIVE LOGITS
     bottleneck
    2.19
     bottlenecks
    2.03
    leneck
    1.77
    bott
    1.27
     bottlen
    1.21
     Bott
    1.20
    Bott
    1.02
     obstacle
    0.70
     inefficiency
    0.68
     obstáculos
    0.66
    Activations Density 0.006%

    No Known Activations