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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 13380
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    words related to urgency or quick movement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 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
    complexContent
    -0.93
    contentLoaded
    -0.85
    发表于
    -0.85
     виправивши
    -0.81
    djangoproject
    -0.81
    PyExc
    -0.78
     smtplib
    -0.74
    mentaux
    -0.73
     дописавши
    -0.72
    ništ
    -0.72
    POSITIVE LOGITS
     rush
    3.24
     Rush
    2.67
    Rush
    2.64
    rush
    2.62
     rushed
    2.60
     rushes
    2.56
     rushing
    2.52
     RUSH
    2.41
     hurry
    1.93
     hurried
    1.66
    Activations Density 0.064%

    No Known Activations