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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 10110
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    INDEX
    Explanations

    references to skyscrapers and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    descriptions of tall buildings and their architectural features.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    __':
    -0.43
     Cottage
    -0.43
     cottage
    -0.43
     pondok
    -0.39
    setupUi
    -0.39
     Cottages
    -0.37
     Barn
    -0.36
    Fence
    -0.36
    篱
    -0.36
     barn
    -0.35
    POSITIVE LOGITS
     skyscraper
    1.11
     tower
    0.93
     tallest
    0.92
     elevator
    0.91
     elevators
    0.87
     skyscrapers
    0.87
     towers
    0.83
     Tower
    0.83
     TOWER
    0.82
    tower
    0.79
    Activations Density 0.179%

    No Known Activations