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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 9861
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    Explanations

    terms related to quantum mechanics and its applications

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

    starting with "Qu" or "Quantum"

    np_acts-logits-general · gemini-2.0-flash

    Quantum or Quinlan science contexts

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     оригіналу
    -0.45
    原始内容存档于
    -0.44
    datei
    -0.43
    getChildAt
    -0.38
    Derbyniad
    -0.37
    $_['
    -0.37
     ویکی‌پدی
    -0.37
    Архівовано
    -0.36
    epam
    -0.36
    춤
    -0.36
    POSITIVE LOGITS
     Q
    0.58
     Quin
    0.58
    Quinn
    0.54
    Quin
    0.54
     QD
    0.53
     Quinn
    0.53
     QT
    0.52
     Tarantino
    0.52
     Quer
    0.52
     QUERY
    0.52
    Activations Density 0.438%

    No Known Activations