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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 9007
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    Explanations

    occurrences of the word "Que" and its variations, particularly in contexts related to queues or activities being organized

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Livraison
    -0.38
    ̀i
    -0.38
     사
    -0.37
     Empresas
    -0.37
     Gouvernement
    -0.37
     Fishing
    -0.36
     soin
    -0.36
     Relaciones
    -0.36
    Forsch
    -0.35
     Söz
    -0.34
    POSITIVE LOGITS
    que
    2.91
    Que
    2.64
    QUE
    2.56
     Que
    2.56
     QUE
    2.23
     queue
    1.95
     queues
    1.91
     que
    1.85
     Queue
    1.77
    queue
    1.74
    Activations Density 0.131%

    No Known Activations