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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 13318
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    terms related to public transportation and infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    
    -0.42
     CURIAM
    -0.40
    Atsauces
    -0.39
    évaluateur
    -0.37
    Parcelize
    -0.35
     inmobili
    -0.35
     carica
    -0.34
    Codice
    -0.34
    kháu
    -0.33
    عرِّف
    -0.33
    POSITIVE LOGITS
     bus
    2.05
     buses
    1.80
     Bus
    1.77
    Bus
    1.72
    bus
    1.67
     Buses
    1.66
     BUS
    1.49
    Buses
    1.49
    buses
    1.48
    BUS
    1.43
    Activations Density 0.157%

    No Known Activations