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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 8948
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    INDEX
    Explanations

    specific identifiers and details related to automotive technology and production

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

    manufacturing and mass production

    np_acts-logits-general · gemini-2.0-flash

    production and commercial

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itulo
    -0.34
    manjaro
    -0.33
    mixins
    -0.32
    altes
    -0.32
    Hozzáférés
    -0.31
     intelectual
    -0.30
     indietro
    -0.30
    ración
    -0.30
    heber
    -0.30
    getreten
    -0.30
    POSITIVE LOGITS
     production
    1.35
     commercial
    1.28
     commercially
    1.18
    production
    1.16
    commercial
    1.15
     comercial
    1.11
     Production
    1.10
    Production
    1.09
     PRODUCTION
    1.01
    Commercial
    1.00
    Activations Density 0.820%

    No Known Activations