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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 28-GEMMASCOPE-RES-16K
    6. 2748
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    INDEX
    Explanations

    terms related to automotive diagnostics and their protocols

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

    cars and vehicles

    np_acts-logits-general · gemini-2.0-flash

    dedicated additives

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     aéreo
    -0.42
    Contrato
    -0.42
    InternalFrame
    -0.42
     artístico
    -0.41
     SCALE
    -0.41
     entren
    -0.40
     elástica
    -0.40
     jsPsych
    -0.40
    Veranstal
    -0.40
    Referințe
    -0.39
    POSITIVE LOGITS
     automotive
    0.88
     vehicle
    0.85
     automobile
    0.75
     Automotive
    0.75
    automotive
    0.74
    vehicle
    0.73
    Vehicle
    0.73
     car
    0.71
     Fahrzeug
    0.71
     خودرو
    0.71
    Activations Density 0.413%

    No Known Activations