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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 5-GEMMASCOPE-RES-16K
    11. 5032
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    Explanations

    references to railways and transportation entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 5-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_5/width_16k/average_l0_68
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.5.hook_resid_post
    Hook Layer
    5
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    resizingMask
    -0.50
     transparentes
    -0.49
     trasparente
    -0.47
     traduction
    -0.47
     transparente
    -0.46
    askin
    -0.45
    緯
    -0.44
    lacian
    -0.44
     mourut
    -0.44
     Reconnaissance
    -0.44
    POSITIVE LOGITS
     railroad
    1.49
     railway
    1.45
     rail
    1.39
    Rail
    1.35
     Rail
    1.35
     Railroad
    1.34
     railways
    1.34
     railroads
    1.34
     Railway
    1.30
     RAIL
    1.27
    Activations Density 0.261%

    No Known Activations