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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. 82726
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    INDEX
    Explanations

    the word "qu" and its variations in different contexts

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

    quaker, quaternary

    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
    fileSize
    -0.54
     fileSize
    -0.52
    ImageIO
    -0.51
     forestal
    -0.47
     Gelen
    -0.46
     Rosario
    -0.45
      
    -0.44
    dostęp
    -0.44
     Atem
    -0.43
     :
    -0.43
    POSITIVE LOGITS
     qu
    0.91
    NameInMap
    0.66
    expandindo
    0.65
    Cuánt
    0.65
    Qu
    0.62
     dintr
    0.60
    transQ
    0.60
    <bos>
    0.59
     Qu
    0.59
     lorsqu
    0.59
    Activations Density 0.022%

    No Known Activations