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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 30-GEMMASCOPE-RES-16K
    6. 10350
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    INDEX
    Explanations

    technical descriptions and specifications related to automotive components and their installations

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

    Automobile/Engine components

    np_acts-logits-general · gemini-2.0-flash

    engine bay

    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
     utafitiHapana
    -0.49
    ographiques
    -0.46
     initWithFrame
    -0.44
     clínico
    -0.40
     clinically
    -0.37
     corrientes
    -0.36
     Вікіпе
    -0.36
     umano
    -0.36
     kalangan
    -0.36
     portátiles
    -0.36
    POSITIVE LOGITS
     underside
    0.57
     cowl
    0.56
     hood
    0.54
     firewall
    0.50
     beneath
    0.49
     underneath
    0.48
     battery
    0.47
     cover
    0.47
     radiator
    0.47
     dust
    0.47
    Activations Density 0.317%

    No Known Activations