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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 12074
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    Explanations

    the particle "に" and its various usages within sentences

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

    Japanese particle "に"

    np_acts-logits-general · gemini-2.0-flash

    に

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    AutoField
    -0.41
     initComponents
    -0.38
    valid
    -0.38
    termilk
    -0.37
    UrlResolution
    -0.37
    SWE
    -0.37
    assertAll
    -0.37
    zboi
    -0.37
    TextButton
    -0.36
    providedIn
    -0.35
    POSITIVE LOGITS
    に
    1.00
    には
    0.85
     に
    0.75
    りに
    0.74
    にも
    0.73
    에
    0.69
    部に
    0.69
    いに
    0.67
    さんに
    0.66
    ことに
    0.62
    Activations Density 0.112%

    No Known Activations