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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 11583
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    Explanations

    references to public transportation and passenger vehicles

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    tagHelperRunner
    -0.60
    InitStruct
    -0.38
     Zelanda
    -0.34
     présence
    -0.33
    ebaran
    -0.33
     secretario
    -0.32
     presença
    -0.32
    InputBorder
    -0.32
     faktor
    -0.32
     cualquier
    -0.32
    POSITIVE LOGITS
     fare
    0.82
     fares
    0.74
    hip
    0.74
     surla
    0.72
     passenger
    0.72
     пассажи
    0.69
     Passengers
    0.68
     passengers
    0.68
     Passenger
    0.68
     transit
    0.67
    Activations Density 0.339%

    No Known Activations