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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. 1435
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    Explanations

    references to airports and air travel

    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
    SharedDtor
    -0.75
    出版年
    -0.73
     kasarigan
    -0.72
    ьаж
    -0.67
     estekak
    -0.61
    parsedMessage
    -0.59
    bootstrapcdn
    -0.58
    脚注の使い方
    -0.57
     CreateTagHelper
    -0.57
    DebuggerNonUser
    -0.56
    POSITIVE LOGITS
     airport
    1.27
     Airport
    1.05
     airports
    1.05
    airport
    0.98
     aeropuerto
    0.92
    Airport
    0.87
    机场
    0.84
     aeroporto
    0.84
     Flughafen
    0.82
     Airports
    0.82
    Activations Density 0.193%

    No Known Activations