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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. 10945
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    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
    ValueStyle
    -0.44
     retrô
    -0.43
     esperti
    -0.41
    TestingModule
    -0.41
    richment
    -0.41
     thermique
    -0.40
     productId
    -0.39
     econômica
    -0.39
     NSCoder
    -0.38
    decoração
    -0.38
    POSITIVE LOGITS
     installation
    1.05
     installations
    0.94
     Installation
    0.92
    Installation
    0.88
    installation
    0.87
     install
    0.87
     Installations
    0.83
    Install
    0.79
    install
    0.77
     instal
    0.77
    Activations Density 0.143%

    No Known Activations