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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 23-GEMMASCOPE-RES-16K
    6. 5074
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    phrases related to driving safety and vehicle performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     متعلقه
    -0.70
     picioare
    -0.67
    Życiorys
    -0.64
     viață
    -0.64
     يتيمه
    -0.63
     cykel
    -0.62
     maș
    -0.61
     RSSSF
    -0.60
     artísticas
    -0.60
     espirituales
    -0.60
    POSITIVE LOGITS
     daily
    0.84
     commuting
    0.75
     errands
    0.70
     errand
    0.68
     urban
    0.68
     highway
    0.67
     freeway
    0.67
     harian
    0.66
     hilly
    0.66
     city
    0.65
    Activations Density 0.158%

    No Known Activations