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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 10478
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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 @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     يتيمه
    -0.42
    
    -0.40
    kitab
    -0.40
    ImageContext
    -0.39
     teachers
    -0.39
     oars
    -0.38
     Valky
    -0.38
     teacher
    -0.37
     AssemblyCulture
    -0.37
    #+#
    -0.37
    POSITIVE LOGITS
     airport
    1.14
     terminal
    1.03
     Terminal
    1.02
     Airport
    1.02
    airport
    0.91
     airports
    0.90
    Airport
    0.89
    Terminal
    0.89
     terminals
    0.89
     Terminals
    0.86
    Activations Density 0.239%

    No Known Activations