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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 8114
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    Explanations

    historical information about railways and train stations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    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
    -0.56
    المشاركات
    -0.48
    ArrowToggle
    -0.47
    fitrión
    -0.47
     esternos
    -0.46
     uLocal
    -0.43
    SequentialGroup
    -0.43
    Życiorys
    -0.42
     EconPapers
    -0.41
    orghini
    -0.40
    POSITIVE LOGITS
     train
    2.05
     trains
    1.95
     rail
    1.95
     railway
    1.91
     Train
    1.84
     Trains
    1.82
     Rail
    1.77
     railroad
    1.75
     Railway
    1.73
    Rail
    1.73
    Activations Density 0.544%

    No Known Activations