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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 13405
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    names of people and proper nouns related to notable individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     alcanzado
    -0.42
     gustaba
    -0.42
     MDL
    -0.41
     puntas
    -0.40
     scă
    -0.39
     apret
    -0.39
    mær
    -0.38
     esfuer
    -0.37
     acuer
    -0.37
     SSN
    -0.36
    POSITIVE LOGITS
     anh
    0.59
     ai
    0.57
     hắn
    0.54
    CppMethod
    0.53
     chuyện
    0.53
     mình
    0.52
     cô
    0.52
     chàng
    0.50
     nàng
    0.50
     tôi
    0.49
    Activations Density 0.039%

    No Known Activations