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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 2518
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    Explanations

    elements related to transportation infrastructure and operations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personensuche
    -0.55
     ब्रेकडाउन
    -0.44
     '\\;'
    -0.42
     unknownFields
    -0.40
    Railway
    -0.39
    SharedDtor
    -0.39
     RAILROAD
    -0.39
    歩
    -0.38
    出版年
    -0.38
    intios
    -0.38
    POSITIVE LOGITS
     routes
    0.96
     route
    0.77
     frequencies
    0.76
     operated
    0.71
     frecu
    0.70
     Routes
    0.70
     Frequencies
    0.69
     frequency
    0.68
     melayani
    0.68
     service
    0.68
    Activations Density 0.376%

    No Known Activations