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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 6343
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    Explanations

    specific names, terms, and references related to various fields, including science, technology, and culture

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

    Tokens before "et", company names, or names

    np_acts-logits-general · gemini-2.0-flash

    names followed by titles or companies

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    Not in Any Lists

    No Comments

    Negative Logits
    ZZZ
    -0.67
     Paglinawan
    -0.66
     azi
    -0.65
    Benzo
    -0.65
    Datuak
    -0.65
    Koz
    -0.62
    izability
    -0.61
     Wiz
    -0.60
     Taz
    -0.59
     kasarigan
    -0.59
    POSITIVE LOGITS
     Dunham
    0.54
    <h1>
    0.52
     Pelham
    0.48
    ham
    0.46
     Cordero
    0.44
    ```
    0.44
     hodně
    0.43
     Gonçalves
    0.43
     těch
    0.43
     neler
    0.42
    Activations Density 2.055%

    No Known Activations