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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 10946
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    Explanations

    city names and their associated attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    出版年
    -0.73
     հղումներ
    -0.59
    Хьажоргаш
    -0.58
    Diweddarwch
    -0.54
     utafitiHapana
    -0.54
     createState
    -0.53
    сылкі
    -0.53
    Bibliograf
    -0.52
    archiviato
    -0.51
    Notae
    -0.51
    POSITIVE LOGITS
     city
    0.85
     City
    0.78
     metropolitan
    0.64
     CITY
    0.64
    City
    0.62
     Airport
    0.61
     airport
    0.60
    市
    0.59
    city
    0.59
     Metropolitan
    0.58
    Activations Density 0.292%

    No Known Activations