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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 5716
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    Explanations

    references to trails and paths, particularly in relation to outdoor activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Sarawak
    -0.46
     Guildford
    -0.39
     testicular
    -0.38
     operações
    -0.37
     Minang
    -0.36
     Malayalam
    -0.35
     Guay
    -0.35
     Melayu
    -0.35
     vectoriales
    -0.35
     Sumatera
    -0.34
    POSITIVE LOGITS
     Chicago
    1.95
    Chicago
    1.83
     CHICAGO
    1.65
     chicago
    1.63
    CHICAGO
    1.52
     Illinois
    1.49
    chicago
    1.47
    Illinois
    1.40
     ILLINOIS
    1.20
    シカ
    1.13
    Activations Density 0.563%

    No Known Activations