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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. 3442
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    Explanations

    references to the word "nose."

    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
    addCriterion
    -0.77
     متعلقه
    -0.75
    WebElementEntity
    -0.75
     незавершена
    -0.71
    Personendaten
    -0.68
    webElementXpaths
    -0.66
    AutoField
    -0.65
    oredCriteria
    -0.65
    Koo
    -0.62
    webElementGuid
    -0.60
    POSITIVE LOGITS
     nose
    1.17
     nas
    1.08
     noses
    0.99
     Nose
    0.98
     Nas
    0.96
    Nas
    0.94
    Nose
    0.91
     nasal
    0.86
     NAS
    0.81
    nose
    0.79
    Activations Density 0.109%

    No Known Activations