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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. 42126
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    Explanations

    terms related to bacterial infections and antimicrobial resistance

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

    hospital infections and pathogens

    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
     للاسماء
    -0.41
    SharedDtor
    -0.39
     téléchargez
    -0.38
    httphttps
    -0.38
     EClass
    -0.38
     Eing
    -0.36
    entrySet
    -0.35
     Testa
    -0.34
     createSlice
    -0.34
    Халык
    -0.33
    POSITIVE LOGITS
     infection
    0.94
     Infection
    0.93
    Infection
    0.85
    infection
    0.84
     infections
    0.83
     hospital
    0.80
     Infections
    0.77
    感染
    0.69
     infect
    0.68
     infec
    0.68
    Activations Density 0.252%

    No Known Activations