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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. 1477
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    references to military personnel and honors

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     squadron
    -0.61
     Squadron
    -0.57
     squadrons
    -0.56
    
    -0.53
    modore
    -0.52
    舰
    -0.43
     Admiral
    -0.43
    Admiral
    -0.42
    GIVEREF
    -0.42
     naval
    -0.42
    POSITIVE LOGITS
    ंदीखरीदारी
    0.54
    Bibliograf
    0.53
     Army
    0.50
    ftagPool
    0.47
     pinulongan
    0.45
    PyExc
    0.43
    陸軍
    0.42
     ARMY
    0.42
     nonUne
    0.40
    Tracce
    0.40
    Activations Density 0.181%

    No Known Activations