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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. 12440
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    references to specific brands and items related to watches and luxury goods

    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
    
    -0.39
     للمعارف
    -0.38
     Booth
    -0.36
     Schröder
    -0.35
    Erstellt
    -0.34
    OGND
    -0.33
     Phòng
    -0.32
    ceaux
    -0.32
    INCREF
    -0.32
    افته
    -0.32
    POSITIVE LOGITS
     watch
    2.33
     watches
    2.31
     Watches
    1.98
     Watch
    1.95
    watch
    1.91
    watches
    1.91
     WATCH
    1.77
     reloj
    1.76
    Watch
    1.75
     relojes
    1.66
    Activations Density 0.177%

    No Known Activations