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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. 126546
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    INDEX
    Explanations

    possessive and descriptive particles in the context of relationships or characteristics

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

    chinese and japanese possessive particles

    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
    脚注の使い方
    -0.77
    <unused14>
    -0.75
    <unused52>
    -0.75
    <unused79>
    -0.75
    <unused74>
    -0.75
    <unused41>
    -0.75
    [@BOS@]
    -0.75
    <unused23>
    -0.75
    <unused17>
    -0.75
    <unused8>
    -0.75
    POSITIVE LOGITS
    的
    0.50
     olan
    0.46
     대한
    0.43
    ുടെ
    0.41
     are
    0.40
     matters
    0.39
    の
    0.39
    さの
    0.38
     deren
    0.38
     的
    0.36
    Activations Density 0.004%

    No Known Activations