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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. 114766
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    Explanations

    references to downtown areas

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

    downtown and city locations

    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
     propOrder
    -0.68
     yaiba
    -0.50
     Lampung
    -0.46
    cessite
    -0.46
    rachtet
    -0.46
     Kurds
    -0.46
     carers
    -0.45
     protoimpl
    -0.45
     nothwendig
    -0.44
    рации
    -0.43
    POSITIVE LOGITS
     downtown
    2.17
    downtown
    1.87
    Downtown
    1.62
     Downtown
    1.59
     Innenstadt
    0.92
     Uptown
    0.83
     downstairs
    0.77
     city
    0.73
     Altstadt
    0.68
     suburban
    0.66
    Activations Density 0.001%

    No Known Activations