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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 8675
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    Explanations

    references to transportation methods, particularly buses and trains

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     հղումներ
    -0.43
     Tessa
    -0.40
     Chiara
    -0.40
     favours
    -0.39
     BLM
    -0.39
     dAtA
    -0.39
     Doha
    -0.39
    persky
    -0.38
     QT
    -0.38
    ressa
    -0.38
    POSITIVE LOGITS
     truck
    1.03
     bus
    1.01
     TRUCK
    0.97
     airplane
    0.96
     train
    0.96
    Truck
    0.96
     trucks
    0.94
     Truck
    0.93
     boat
    0.92
     Trucks
    0.92
    Activations Density 0.253%

    No Known Activations