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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 127706
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    Explanations

    references to the city of Prague and associated locations or contexts

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

    Prague and argon

    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-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
    Not in Any Lists

    No Comments

    Negative Logits
    +#+#
    -0.48
    NAND
    -0.44
    jęt
    -0.43
     onOptions
    -0.40
     shipper
    -0.39
     bishop
    -0.39
     Origen
    -0.39
     للاسماء
    -0.39
    InjectAttribute
    -0.39
    SuccessListener
    -0.39
    POSITIVE LOGITS
     Prague
    2.19
    Prague
    1.97
     Praga
    1.30
     Praha
    1.14
     Praze
    1.05
     Budapest
    0.84
     Prag
    0.84
     Moscow
    0.80
     Belgrade
    0.77
    rague
    0.76
    Activations Density 0.001%

    No Known Activations