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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 12119
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    specific references or mentions of people and organizations, particularly in legal, medical, or historical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     køb
    -0.56
     sufrido
    -0.53
     aliado
    -0.52
     المعيارى
    -0.50
     trabajado
    -0.50
     cromado
    -0.49
     asesino
    -0.48
     arquitecto
    -0.48
     væ
    -0.47
    PropertyChanging
    -0.47
    POSITIVE LOGITS
     fare
    0.66
     far
    0.60
     dare
    0.58
     dared
    0.52
    fare
    0.50
     Fare
    0.50
     dares
    0.49
     aver
    0.46
     stare
    0.45
    Fare
    0.45
    Activations Density 0.099%

    No Known Activations