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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. 10490
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    Explanations

    the word "que" and its various forms, indicating a focus on conjunctions or relative pronouns

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

    que que

    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
     sentarse
    -0.57
     auroit
    -0.54
    İstinadlar
    -0.51
    Билгалдахарш
    -0.51
     helemaal
    -0.50
     avancé
    -0.48
     ilma
    -0.48
     newBuilder
    -0.47
     piatta
    -0.47
     asegu
    -0.47
    POSITIVE LOGITS
     que
    0.62
     che
    0.54
     που
    0.47
     които
    0.44
     které
    0.43
     <=",
    0.42
     mà
    0.42
     Marconi
    0.41
    ที่
    0.41
    Que
    0.40
    Activations Density 0.007%

    No Known Activations