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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. 126194
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    INDEX
    Explanations

    the word "que" indicating connections or relationships

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

    que as relative pronoun

    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
    <bos>
    -0.57
     Blount
    -0.52
    ございます
    -0.51
    にいる
    -0.49
     bénévol
    -0.46
    currentPosition
    -0.45
     kasarigan
    -0.45
    ございました
    -0.44
    わかります
    -0.43
     bibir
    -0.43
    POSITIVE LOGITS
     que
    1.20
    Que
    1.03
     Que
    0.90
     QUE
    0.89
     bahawa
    0.83
    que
    0.81
     που
    0.79
     że
    0.76
     що
    0.75
     что
    0.75
    Activations Density 0.001%

    No Known Activations