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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 13556
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    Explanations

    references to historical railway developments and infrastructure

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/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.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Exacts
    -0.57
    fitrión
    -0.45
    Życiorys
    -0.44
    SequentialGroup
    -0.43
    ViewInit
    -0.41
     nahilalakip
    -0.41
     bague
    -0.40
    licone
    -0.39
    ніципа
    -0.38
    IndentedString
    -0.38
    POSITIVE LOGITS
     railway
    2.02
     train
    1.98
     trains
    1.97
     Trains
    1.90
     Railway
    1.88
     Train
    1.86
     rail
    1.84
     railroad
    1.76
     Rail
    1.75
    Trains
    1.75
    Activations Density 0.640%

    No Known Activations