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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 1000
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    Explanations

    keywords associated with public transportation systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Meksiku
    -0.49
    
    -0.46
    SequentialGroup
    -0.46
     Exacts
    -0.45
    Földrajzportál
    -0.45
    олові
    -0.40
    #+#
    -0.37
     Exactos
    -0.37
    Shipping
    -0.35
    findpost
    -0.34
    POSITIVE LOGITS
     Metro
    0.95
     subway
    0.94
     metro
    0.93
     riders
    0.87
     fare
    0.86
     transit
    0.86
     Transit
    0.83
    Metro
    0.83
     métro
    0.81
     stations
    0.80
    Activations Density 0.315%

    No Known Activations