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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 13257
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    Explanations

    references related to railway stations and their historical significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_20/width_16k/average_l0_68
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dhabi
    -0.46
    licone
    -0.46
     Griechen
    -0.43
    urcht
    -0.43
    Activités
    -0.41
     antioxidant
    -0.41
     Exacts
    -0.41
     SafeArea
    -0.41
    coconut
    -0.40
    BuildContext
    -0.40
    POSITIVE LOGITS
     railroad
    0.98
     railway
    0.96
     rail
    0.89
     Railway
    0.87
    Rail
    0.85
     Railways
    0.85
     train
    0.85
     Trains
    0.84
     Railroad
    0.83
    rail
    0.83
    Activations Density 0.183%

    No Known Activations