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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. 2416
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    Explanations

    articles and demonstratives in the text

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

    "a" followed by an adjective

    np_acts-logits-general · gemini-2.0-flash

    identifying "a" followed by a descriptive word

    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
    脚注の使い方
    -0.57
    揄
    -0.48
     nahilalakip
    -0.46
    ronique
    -0.42
    Diweddarwch
    -0.42
    kuuta
    -0.40
    Nuorodos
    -0.40
    ญิง
    -0.40
    WaitGroup
    -0.40
    fromnode
    -0.39
    POSITIVE LOGITS
     merupakan
    0.68
    是
    0.59
     является
    0.56
     là
    0.54
    เป็น
    0.53
    seamnă
    0.52
     onderdeel
    0.52
     являются
    0.51
     เป็น
    0.51
     adalah
    0.50
    Activations Density 0.471%

    No Known Activations