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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 9-GEMMASCOPE-RES-131K
    6. 15593
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    Explanations

    terms related to models and their attributes or evaluations

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

    model parameters and return values

    np_acts-logits-general · gemini-2.5-flash-lite

    The neuron detects document-structure labels and section/headline-like tokens (e.g., short capitalized or header words such as "Model", "Parameter", "Control", "return", "market risk premium").

    oai_token-act-pair · gpt-5-miniTriggered by @vetterc0
    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
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    No Comments

    Negative Logits
     dotyczące
    -0.28
    ยัง
    -0.27
    连忙
    -0.26
     sportowe
    -0.26
     experto
    -0.26
     otherwise
    -0.25
     equally
    -0.25
    เหร
    -0.24
     koń
    -0.23
     exciting
    -0.22
    POSITIVE LOGITS
    Tembelea
    0.79
    AndEndTag
    0.77
     Infórmanos
    0.74
    出版年
    0.71
     EconPapers
    0.71
     समीक्षक
    0.71
     '\\;'
    0.68
    strophy
    0.68
     OFDb
    0.67
     للمعارف
    0.66
    Activations Density 0.000%

    No Known Activations