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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 6902
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    Explanations

    proper nouns associated with people and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     réputation
    -0.45
    Montserrat
    -0.42
     Montserrat
    -0.41
     kasarigan
    -0.41
     Aguilar
    -0.40
     leçon
    -0.40
    Trichlor
    -0.40
     kaarangay
    -0.39
     laiton
    -0.38
     cathédrale
    -0.38
    POSITIVE LOGITS
     Franke
    0.75
     Parke
    0.73
     Kaye
    0.70
     CME
    0.68
     Goode
    0.67
     Zane
    0.66
     TPE
    0.66
     Ashe
    0.66
     Palme
    0.66
     Hake
    0.66
    Activations Density 4.035%

    No Known Activations