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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 12236
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    phrases related to applying and being prepared for job opportunities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AddTagHelper
    -0.30
     pendientes
    -0.30
     enseñanza
    -0.29
    Autoritní
    -0.29
     kaarangay
    -0.29
     itſelf
    -0.28
     cercanos
    -0.28
     TAMBÉM
    -0.28
    JoinColumn
    -0.27
     CHECK
    -0.27
    POSITIVE LOGITS
    queryInterface
    0.59
     presentation
    0.59
    MLLoader
    0.59
     demonstrating
    0.58
    ArrowToggle
    0.58
     persuasive
    0.56
     ComVisible
    0.55
    presentation
    0.55
    Attra
    0.55
     persu
    0.54
    Activations Density 0.427%

    No Known Activations