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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 12688
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    INDEX
    Explanations

    mentions of the name "Tan" and variations thereof

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

    "tan" followed by "tamount" or names

    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
    findpost
    -0.48
    RegressionTest
    -0.45
    RuleContext
    -0.39
     հղումներ
    -0.37
    رشف
    -0.37
    PONSE
    -0.37
    itudes
    -0.35
     Rivals
    -0.35
    writeHead
    -0.35
     опы
    -0.35
    POSITIVE LOGITS
    Tan
    0.64
     tan
    0.61
     TAN
    0.60
     Tan
    0.59
     تان
    0.57
     Тан
    0.51
    tamount
    0.50
     Tant
    0.48
    Tanner
    0.48
     Tanner
    0.48
    Activations Density 0.038%

    No Known Activations