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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 16-GEMMASCOPE-RES-65K
    11. 29590
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    Explanations

    the use of the verb "have" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    have/had followed by noun or participle

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_65k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tanooga
    -0.60
    ministerium
    -0.51
    şey
    -0.50
    BIOGRAPHY
    -0.46
     Gobernador
    -0.46
     commento
    -0.45
    ronpa
    -0.45
    chemise
    -0.43
     насеље
    -0.43
     jambe
    -0.43
    POSITIVE LOGITS
    ArrowToggle
    0.71
     initComponents
    0.70
     ſeveral
    0.69
    StructEnd
    0.65
    sproz
    0.63
    MemoryWarning
    0.62
    #
    0.60
    ReusableCell
    0.60
    usermodel
    0.59
    skechers
    0.58
    Activations Density 0.062%

    No Known Activations