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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 90993
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    Explanations

    references to skyscrapers and their characteristics

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

    skyscrapers and towers

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enderror
    -0.44
    __);
    -0.42
     infância
    -0.41
     Ditto
    -0.37
     Infórmanos
    -0.36
    __":
    -0.36
     deber
    -0.36
    Rüyada
    -0.35
    ForRow
    -0.35
     caminos
    -0.35
    POSITIVE LOGITS
     skyscraper
    1.04
     tower
    0.98
     skyscrapers
    0.96
     Tower
    0.91
     towers
    0.90
    tower
    0.85
    Tower
    0.85
     TOWER
    0.83
     Towers
    0.83
     buildings
    0.77
    Activations Density 0.016%

    No Known Activations