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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 9869
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    Explanations

    the word "que" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_11/width_16k/average_l0_80
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    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
    -0.90
     itſelf
    -0.90
     Chriſt
    -0.87
     Majefty
    -0.86
     iſt
    -0.85
     rodríguez
    -0.84
     Jefus
    -0.82
     westfalen
    -0.82
    jména
    -0.81
     purpoſe
    -0.81
    POSITIVE LOGITS
     que
    1.35
     Que
    1.30
    Que
    1.28
     QUE
    1.09
    que
    1.02
     że
    1.01
    Qué
    0.88
     že
    0.87
     hogy
    0.86
    __":
    0.83
    Activations Density 0.018%

    No Known Activations