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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 37210
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    INDEX
    Explanations

    references to skyscrapers and their related structural details

    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 @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    Pfalz
    -0.33
     kasarigan
    -0.33
    queryInterface
    -0.31
    setupUi
    -0.31
     sérieux
    -0.29
     liệt
    -0.28
    <?
    -0.27
    Cuadro
    -0.27
     Rs
    -0.26
     ]:
    -0.26
    POSITIVE LOGITS
     skyscraper
    1.56
     skyscrapers
    1.38
     tallest
    1.29
     tower
    1.29
     towers
    1.25
     Tower
    1.12
    tower
    1.10
     TOWER
    1.09
     tall
    1.09
    skys
    1.08
    Activations Density 0.071%

    No Known Activations