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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 8975
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    Explanations

    names of cities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/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.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nahilalakip
    -0.45
    ValueStyle
    -0.40
     Perak
    -0.39
    Vermont
    -0.39
    ruzzo
    -0.37
     Thü
    -0.36
     Vermont
    -0.36
     UNT
    -0.36
     Cornish
    -0.34
    PSU
    -0.34
    POSITIVE LOGITS
     city
    0.96
     Tokyo
    0.96
     London
    0.92
     Amsterdam
    0.88
    Tokyo
    0.88
     tokyo
    0.87
     Moscow
    0.86
     ciudad
    0.86
     Seoul
    0.86
     Sydney
    0.85
    Activations Density 0.479%

    No Known Activations