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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 10158
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    Explanations

    questions or uncertainty, often related to the word "que" and its variations in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Inſ
    -0.63
     Embaj
    -0.57
    ningss
    -0.57
     itſelf
    -0.54
     raiſ
    -0.53
    ſelf
    -0.52
    ftant
    -0.51
     pleaſure
    -0.51
     houſe
    -0.51
     Monfieur
    -0.50
    POSITIVE LOGITS
     que
    2.42
    Que
    1.73
     Que
    1.66
     QUE
    1.61
    que
    1.38
    QUE
    1.10
     què
    0.98
     που
    0.94
     qué
    0.93
     qe
    0.78
    Activations Density 0.043%

    No Known Activations