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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. 16307
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    Explanations

    specific names and references related to military units and operations

    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
     military
    -0.47
     militares
    -0.45
     militä
    -0.43
    军事
    -0.43
    軍事
    -0.42
    軍
    -0.42
     militaire
    -0.42
     militar
    -0.40
     militer
    -0.40
     воен
    -0.40
    POSITIVE LOGITS
     units
    0.77
     unit
    0.75
     division
    0.73
     Division
    0.71
     divisions
    0.69
    httphttps
    0.69
     Units
    0.66
     regiment
    0.66
    AccessorTable
    0.64
    帖最后由
    0.63
    Activations Density 0.271%

    No Known Activations