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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. 15406
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    phrases related to travel planning and experiences

    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
     descarga
    -0.38
    findpost
    -0.35
     geleverd
    -0.33
     تضيفلها
    -0.31
     vía
    -0.30
     aparcamiento
    -0.30
    Transkript
    -0.29
     Stadtteil
    -0.28
    ostatic
    -0.28
    tplatz
    -0.28
    POSITIVE LOGITS
     travel
    3.19
     traveling
    2.80
     travelling
    2.75
    travel
    2.70
     Travel
    2.70
     travels
    2.66
     traveled
    2.61
     travelled
    2.59
     TRAVEL
    2.58
    Travel
    2.45
    Activations Density 0.458%

    No Known Activations