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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 4-GEMMASCOPE-RES-16K
    11. 13122
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    Explanations

    occurrences of the word "que" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 4-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_4/width_16k/average_l0_124
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.hook_resid_post
    Hook Layer
    4
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     contextLoads
    -1.03
     itſelf
    -1.01
     Chriſt
    -0.97
     Majefty
    -0.95
     purpoſe
    -0.95
     auffi
    -0.92
     Reſ
    -0.91
     Jefus
    -0.91
     himſelf
    -0.90
     ſeveral
    -0.90
    POSITIVE LOGITS
     que
    1.88
     Que
    1.76
    Que
    1.69
     QUE
    1.54
    que
    1.37
    QUE
    1.11
     què
    0.96
     że
    0.88
     che
    0.88
    Qué
    0.87
    Activations Density 0.026%

    No Known Activations