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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 8053
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    references to governmental or bureaucratic actions and structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    
    -0.46
    BindingResult
    -0.43
     gevoel
    -0.39
     Tobago
    -0.37
     bỏng
    -0.36
     blij
    -0.36
    agissait
    -0.35
     gezet
    -0.35
    acquisto
    -0.35
    zustellen
    -0.35
    POSITIVE LOGITS
     China
    1.05
    China
    0.99
     Chinese
    0.95
    Chinese
    0.94
     CHINA
    0.89
    CHINA
    0.85
     Chine
    0.84
     chinois
    0.84
    是中国
    0.80
     CHINESE
    0.79
    Activations Density 0.514%

    No Known Activations