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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 55143
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    Explanations

    references to various types of "ware," particularly in contexts related to technology or products

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    wares and words ending in ware

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     Katrin
    -0.47
    Tikang
    -0.43
    Nicolas
    -0.43
    SelectedIndex
    -0.42
    enko
    -0.41
    ikki
    -0.41
     McConnell
    -0.41
    Cristina
    -0.41
     Cic
    -0.40
    ciun
    -0.40
    POSITIVE LOGITS
    ware
    2.98
    Ware
    2.50
    WARE
    2.31
     Ware
    2.27
     ware
    2.23
     WARE
    1.90
    wares
    1.80
     wares
    1.29
    ウェア
    1.29
    waren
    1.18
    Activations Density 0.001%

    No Known Activations