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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. 4903
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    references to veterans and memorials

    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
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    Negative Logits
     Hoffmann
    -0.47
    SaveChangesAsync
    -0.41
    arXiv
    -0.41
     Aufs
    -0.40
     Garg
    -0.40
     Diri
    -0.40
     gole
    -0.39
     Graz
    -0.39
    jalanan
    -0.39
     Hofmann
    -0.38
    POSITIVE LOGITS
    Veterans
    0.91
     militaires
    0.90
    Military
    0.89
     military
    0.89
     Military
    0.89
    military
    0.88
     Veterans
    0.86
     veterans
    0.85
     militaire
    0.85
     patriotism
    0.85
    Activations Density 0.281%

    No Known Activations