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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 7559
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    INDEX
    Explanations

    phrases and names associated with sports and events

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

    Tokens after abbreviations

    np_acts-logits-general · gemini-2.0-flash

    vaccination, medical conditions, specific names

    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
    providedIn
    -0.41
     Gea
    -0.35
    withCredentials
    -0.32
     wickets
    -0.31
    yii
    -0.30
     getContext
    -0.30
    LookAnd
    -0.30
    Voci
    -0.29
    multer
    -0.28
     للاسماء
    -0.28
    POSITIVE LOGITS
    :✨
    0.65
    MessageTagHelper
    0.61
     ۱۴۰۰
    0.59
     vaccination
    0.58
     vacun
    0.58
    原始内容存档于
    0.56
     unvaccinated
    0.56
     vaksinasi
    0.55
     unknownFields
    0.54
     vaccin
    0.53
    Activations Density 0.354%

    No Known Activations