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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. 58655
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    Explanations

    instances of the verbs "have" and "had" in various forms

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

    have / had / having

    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
    componentWill
    -0.35
     liền
    -0.34
    ();*/
    -0.34
     VICT
    -0.33
     approach
    -0.33
     Anschließend
    -0.33
     jūs
    -0.33
     SOC
    -0.32
     directly
    -0.32
     Jacobi
    -0.32
    POSITIVE LOGITS
     disambiguazione
    0.69
     CanadaChoose
    0.67
     Memiliki
    0.64
     المعيارى
    0.64
    Aholisi
    0.61
     ब्रेकडाउन
    0.59
    MemoryWarning
    0.59
     дописавши
    0.59
     Taktlose
    0.59
    XtraReports
    0.57
    Activations Density 0.191%

    No Known Activations