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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 1640
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    Explanations

    adverbs related to speed or urgency, particularly the word "quickly."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Theſe
    -1.07
     Efq
    -0.99
     Monfieur
    -0.96
     faſt
    -0.93
     Jefus
    -0.89
     whoſe
    -0.88
     myſelf
    -0.87
     Chrift
    -0.86
     Económica
    -0.85
     ſhall
    -0.85
    POSITIVE LOGITS
     backs
    0.93
     quickly
    0.71
     Back
    0.70
    Backend
    0.66
     backing
    0.65
    backs
    0.64
    backend
    0.60
    back
    0.59
     backed
    0.58
    backing
    0.57
    Activations Density 0.136%

    No Known Activations