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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 11749
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    Explanations

    the word "employed" and its variations, indicating a focus on employment-related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 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
    WriteAttribute
    -0.59
    AddTagHelper
    -0.56
     незавершена
    -0.51
    WEBPACK
    -0.45
     nahilalakip
    -0.45
     Réponses
    -0.44
     EconPapers
    -0.41
    Kanpo
    -0.41
     సౌకర్య
    -0.40
    apimachinery
    -0.40
    POSITIVE LOGITS
     suppose
    0.73
     Komunikasi
    0.71
    employ
    0.71
     Kebijakan
    0.66
    Suppose
    0.66
     empleo
    0.65
     emprego
    0.62
     Usaha
    0.62
     Suppose
    0.59
     empreg
    0.59
    Activations Density 0.282%

    No Known Activations