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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 2053
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    Explanations

    references to railway stations and train-related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 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
    Not in Any Lists

    No Comments

    Negative Logits
     Exacts
    -0.48
     Dhabi
    -0.47
    licone
    -0.44
    PickerController
    -0.44
    coconut
    -0.43
    offsetTop
    -0.43
    BuildContext
    -0.43
     Palmas
    -0.42
     coconut
    -0.41
     greek
    -0.41
    POSITIVE LOGITS
     railway
    1.15
     railroad
    1.14
     Railway
    1.09
     rail
    1.09
     train
    1.05
    Rail
    1.02
     Railroad
    1.01
     Railways
    1.00
     Trains
    0.99
     railways
    0.98
    Activations Density 0.388%

    No Known Activations