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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 15152
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    references to military awards and decorations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Демографія
    -0.46
     referenties
    -0.35
    program
    -0.32
     programma
    -0.31
    stanz
    -0.31
    睛
    -0.31
    Rourke
    -0.30
     Vorg
    -0.30
     magasiner
    -0.29
    }{#
    -0.29
    POSITIVE LOGITS
     medal
    0.96
     medals
    0.96
     Medal
    0.96
     Medals
    0.88
    medal
    0.80
    Medal
    0.80
     honorary
    0.79
     Order
    0.79
     Distinguished
    0.74
     awarded
    0.73
    Activations Density 0.253%

    No Known Activations