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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 13571
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    Explanations

    information related to railway operations and infrastructure

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     nakalista
    -0.57
     religieuses
    -0.52
    PerformLayout
    -0.52
     plástica
    -0.51
     Rite
    -0.51
     Walkover
    -0.50
     clínicas
    -0.50
     Landfill
    -0.50
    isling
    -0.50
     abstrait
    -0.49
    POSITIVE LOGITS
     train
    1.83
     trains
    1.72
     railway
    1.68
     rail
    1.64
     Train
    1.59
     Trains
    1.54
    Train
    1.54
    train
    1.49
     Railway
    1.48
     TRAIN
    1.45
    Activations Density 0.266%

    No Known Activations