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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 14633
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    Explanations

    references to military ranks and operations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     administración
    -0.36
    berdayakan
    -0.36
     preventiva
    -0.36
     initComponents
    -0.35
    strado
    -0.34
     тормо
    -0.33
     bü
    -0.33
     béné
    -0.33
     enamorado
    -0.33
    ondissement
    -0.32
    POSITIVE LOGITS
     sniper
    0.86
     snipers
    0.79
     Sniper
    0.75
     Tactical
    0.74
     airsoft
    0.72
     camo
    0.71
     camouflage
    0.70
     tactical
    0.69
    Tactical
    0.68
     Commando
    0.66
    Activations Density 0.149%

    No Known Activations