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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. 5762
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    INDEX
    Explanations

    possessive and descriptive particles highlighting relationships or characteristics

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

    Japanese possessive particle "の"

    np_acts-logits-general · gemini-2.0-flash

    Japanese/Korean/Vietnamese possessive particle

    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
     purpoſe
    -0.82
     Houſe
    -0.79
     ſta
    -0.79
     houſe
    -0.76
    ſelves
    -0.75
     ſtate
    -0.72
    ineſs
    -0.70
     Majefty
    -0.69
     tranſ
    -0.69
    ſhip
    -0.69
    POSITIVE LOGITS
    の
    0.98
    的
    0.89
    의
    0.88
     の
    0.77
     的
    0.74
    ンの
    0.68
    きの
    0.59
     की
    0.58
    スの
    0.57
     của
    0.57
    Activations Density 0.059%

    No Known Activations