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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 50188
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    Explanations

    mentions of streetcars and related transit terminology

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

    streetcar or tram vehicles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SharedDtor
    -0.54
     dAtA
    -0.47
    ViewStyle
    -0.46
    BufferException
    -0.43
     continúas
    -0.41
     propOrder
    -0.39
    zzleHttp
    -0.39
    tagHelperRunner
    -0.38
     Italijani
    -0.38
     Nigeria
    -0.37
    POSITIVE LOGITS
     tram
    1.79
     trams
    1.62
     Tram
    1.42
    Tram
    1.40
     tramway
    1.33
    tram
    1.13
     Trolley
    0.77
     trolley
    0.76
     LRT
    0.63
    SBATCH
    0.60
    Activations Density 0.013%

    No Known Activations