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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 338
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    Explanations

    phrases related to transportation systems and logistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    
    -0.43
    zarchiwizowane
    -0.34
    新浪
    -0.32
    Дереккөздер
    -0.31
     okuyayım
    -0.31
     Privacidade
    -0.30
     ""],
    -0.30
    MemoryWarning
    -0.30
     (;;
    -0.29
    قایناقلار
    -0.27
    POSITIVE LOGITS
     transport
    3.17
     transportation
    2.91
    transport
    2.83
     Transport
    2.69
    Transport
    2.67
     transports
    2.64
     transporting
    2.63
     TRANSPORT
    2.61
     transporte
    2.59
    transportation
    2.55
    Activations Density 0.975%

    No Known Activations