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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 6983
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    Explanations

    styling properties related to font weight and text decoration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    脚注の使い方
    -0.78
    الحياه
    -0.74
     للمعارف
    -0.73
     useAppContext
    -0.68
    exitRule
    -0.66
     otomatig
    -0.65
    providedIn
    -0.64
     initComponents
    -0.62
    lorette
    -0.59
    帖最后由
    -0.59
    POSITIVE LOGITS
    FontStyle
    0.80
    fontWeight
    0.75
    FontWeight
    0.62
     fontWeight
    0.54
     bold
    0.54
    bold
    0.50
    fontStyle
    0.48
     Bold
    0.47
    Bold
    0.46
    setBold
    0.46
    Activations Density 0.114%

    No Known Activations