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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 10528
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    Explanations

    references to messaging applications and their functionalities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     regalías
    -0.46
     OMITBAD
    -0.46
     âmes
    -0.44
     Infór
    -0.43
     vlasy
    -0.42
    Toponymie
    -0.41
     plumas
    -0.40
     Obrigado
    -0.40
     prêtres
    -0.39
     hadapan
    -0.39
    POSITIVE LOGITS
     chat
    1.88
     WhatsApp
    1.66
     Chat
    1.62
     messaging
    1.58
     chats
    1.55
    Chat
    1.52
    chat
    1.52
     Messenger
    1.50
     messenger
    1.49
     Whatsapp
    1.49
    Activations Density 0.337%

    No Known Activations