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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 12096
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    phrases related to the importance of attention to detail and thoroughness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    afficheront
    -0.61
    دانشنامهٔ
    -0.54
     AssemblyCompany
    -0.47
    simpleType
    -0.47
    سه
    -0.47
    相反
    -0.46
    mockito
    -0.46
     Mostly
    -0.46
     Mainly
    -0.45
     Fusion
    -0.45
    POSITIVE LOGITS
     detail
    0.69
    每一个
    0.69
     moindre
    0.68
     bawat
    0.67
     metic
    0.66
     every
    0.65
    every
    0.64
     EVERYTHING
    0.63
    estens
    0.63
     détail
    0.62
    Activations Density 0.220%

    No Known Activations