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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. 11103
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    INDEX
    Explanations

    expressions related to social interactions and behaviors

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

    High frequency or quantity

    np_acts-logits-general · gemini-2.0-flash

    frequent, frequently, lot

    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
    jsdelivr
    -0.43
    bootstrapcdn
    -0.42
    lorette
    -0.42
    ządu
    -0.39
    nezeu
    -0.38
    eder
    -0.37
    invokeLater
    -0.37
    genöss
    -0.36
     knocked
    -0.36
    庁
    -0.35
    POSITIVE LOGITS
     frequent
    1.02
    Frequent
    1.01
    frequent
    0.99
     Frequent
    0.98
    頻繁
    0.86
     frequently
    0.79
    频繁
    0.78
     fréqu
    0.75
    frequently
    0.71
     frecuentes
    0.69
    Activations Density 0.588%

    No Known Activations