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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 60107
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    INDEX
    Explanations

    instances of the verb "have" and its various forms

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

    having or possession

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     betweenstory
    -0.47
    invokeLater
    -0.44
     discorso
    -0.41
    sprüng
    -0.41
    ijiet
    -0.40
     Baptist
    -0.40
     plufieurs
    -0.40
    Архівовано
    -0.39
     Pach
    -0.39
     transportation
    -0.38
    POSITIVE LOGITS
     Memiliki
    0.68
     posiada
    0.62
     иметь
    0.59
     memiliki
    0.59
    have
    0.56
    拥有
    0.54
    是有
    0.54
     having
    0.52
    setHas
    0.52
    有
    0.51
    Activations Density 0.299%

    No Known Activations