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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 9598
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    Explanations

    instances of the word "que" and its variants, indicating a focus on conjunctions and interrogative phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     itſelf
    -0.95
     Majefty
    -0.92
     Romains
    -0.91
     purpoſe
    -0.88
     contextLoads
    -0.88
     attiv
    -0.85
     ſon
    -0.84
     juſ
    -0.83
     eſt
    -0.83
     Jefus
    -0.83
    POSITIVE LOGITS
    Que
    1.17
     Que
    1.17
     que
    1.16
     QUE
    0.98
    que
    0.94
     że
    0.94
    RenderAtEndOf
    0.87
    Qui
    0.85
     Qui
    0.83
    ║
    0.82
    Activations Density 0.038%

    No Known Activations