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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 1837
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    Explanations

    keywords related to transit and location details in a city context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rückseite
    -0.39
     Mieter
    -0.35
    Serviço
    -0.34
     fechado
    -0.34
     Entstehung
    -0.33
     Realität
    -0.33
     gyhoeddwyd
    -0.33
    Residents
    -0.32
     Bühne
    -0.32
     Vorschlag
    -0.32
    POSITIVE LOGITS
     downtown
    1.42
     Downtown
    1.26
    downtown
    1.20
    Downtown
    1.19
     Uptown
    0.89
     Midtown
    0.88
     CBD
    0.81
     Chinatown
    0.79
     Innenstadt
    0.75
     central
    0.75
    Activations Density 0.375%

    No Known Activations