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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 57958
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    Explanations

    references to modes of transportation, particularly vehicles like buses, planes, and trains

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

    journeys and transportation

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    InputBorder
    -0.50
    erai
    -0.46
     disambiguazione
    -0.44
    rinos
    -0.44
    ieve
    -0.43
    casian
    -0.43
    Зноскі
    -0.43
    Referanser
    -0.43
    DataAnnotations
    -0.42
    baceous
    -0.42
    POSITIVE LOGITS
     ride
    0.49
     journey
    0.46
     taxi
    0.42
     trajets
    0.40
     carriage
    0.39
     rides
    0.38
    AnimationsModule
    0.38
    StoryboardSegue
    0.37
     taxis
    0.37
     express
    0.37
    Activations Density 0.020%

    No Known Activations