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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 18-GEMMASCOPE-RES-16K
    6. 8655
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    Explanations

    terms related to vehicle recalls and safety issues

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

    Car brands or models

    np_acts-logits-general · gemini-2.0-flash

    car makes and models

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pigeons
    -0.57
     pigeon
    -0.52
     nawr
    -0.51
     Selby
    -0.49
     Hilton
    -0.49
    المناصب
    -0.47
    IUrlHelper
    -0.47
     Butterfly
    -0.47
    trane
    -0.47
     métro
    -0.46
    POSITIVE LOGITS
     offroad
    0.99
     rugged
    0.85
     jeep
    0.81
     Jeep
    0.80
     mud
    0.79
     Rugged
    0.77
     overland
    0.75
     muddy
    0.74
    Jeep
    0.73
    jeep
    0.73
    Activations Density 0.093%

    No Known Activations