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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 15960
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    Explanations

    references to railroad infrastructure and safety systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    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
    Życiorys
    -0.40
    SequentialGroup
    -0.40
     EconPapers
    -0.39
    ArrowToggle
    -0.39
    Havolalar
    -0.39
    DeleteMapping
    -0.38
    fitrión
    -0.38
    المشاركات
    -0.38
    Autoritní
    -0.37
    POSITIVE LOGITS
     train
    2.17
     railway
    2.05
     rail
    2.02
     trains
    1.98
     Train
    1.95
     railroad
    1.86
     Railway
    1.84
     Trains
    1.84
     Rail
    1.83
    Rail
    1.80
    Activations Density 0.438%

    No Known Activations