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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 9606
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    Explanations

    the name "William" and related references in the context of legal or medical discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 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
     equipamiento
    -0.47
    equip
    -0.43
    المكان
    -0.43
     беспо
    -0.43
    expensive
    -0.42
    XmlAccessType
    -0.42
     terbuat
    -0.41
    Equip
    -0.41
     meg
    -0.39
    equipped
    -0.39
    POSITIVE LOGITS
    William
    0.73
     William
    0.72
     WILLIAM
    0.62
     Substantial
    0.59
     william
    0.57
     initial
    0.55
    xrTableCell
    0.54
     colspan
    0.53
     substantial
    0.52
     initially
    0.51
    Activations Density 0.071%

    No Known Activations