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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 101904
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    Explanations

    the particle "が" in Japanese sentences, indicating subject or topic

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

    subject marker が

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     houſe
    -0.60
     GenerationType
    -0.49
    omitempty
    -0.46
     purpoſe
    -0.46
     ſtate
    -0.42
    toile
    -0.41
     Geſ
    -0.41
     carré
    -0.41
     Houſe
    -0.40
     groote
    -0.40
    POSITIVE LOGITS
    が
    0.89
    りが
    0.77
    しが
    0.73
    日が
    0.71
     が
    0.66
    子が
    0.61
    らが
    0.60
    가
    0.60
    体が
    0.59
     Fig
    0.58
    Activations Density 0.007%

    No Known Activations