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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 14580
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    Explanations

    various types of environments that promote specific qualities or conditions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    AddTagHelper
    -0.79
    setVerticalGroup
    -0.63
     المعيارى
    -0.62
     UserDao
    -0.59
    domada
    -0.58
     Normdatei
    -0.57
     bezeichneter
    -0.56
    astéro
    -0.56
     geſch
    -0.55
     архивлан
    -0.55
    POSITIVE LOGITS
     environment
    1.24
     environments
    1.13
     atmosphere
    0.96
     ambiente
    0.93
    环境
    0.87
    environment
    0.84
     Environments
    0.83
     prostředí
    0.83
     ambientes
    0.83
    環境
    0.82
    Activations Density 0.459%

    No Known Activations