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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 9044
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    Explanations

    specific models of classic cars

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

    Car 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 @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Meksiku
    -0.68
    enumi
    -0.67
     Dicapai
    -0.66
     Normdatei
    -0.62
    withIdentifier
    -0.58
     insuffisamment
    -0.57
    Rhestr
    -0.57
    .*")]
    -0.55
    </tfoot>
    -0.54
     متعلقه
    -0.54
    POSITIVE LOGITS
     coupe
    0.59
     hatchback
    0.59
     wagon
    0.58
     sedan
    0.58
     coupes
    0.56
     Coupe
    0.56
    prelude
    0.55
     Wagon
    0.54
     cavalier
    0.54
     import
    0.54
    Activations Density 0.163%

    No Known Activations