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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 2-GEMMASCOPE-RES-16K
    6. 14483
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    references to military personnel and their roles within a battalion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     losers
    -0.67
     BoxDecoration
    -0.67
    BeginContext
    -0.64
     MainAxisSize
    -0.63
     ExecuteAsync
    -0.60
     mergeFrom
    -0.58
     Governments
    -0.57
     Witkin
    -0.57
     Chancellor
    -0.56
     chancellor
    -0.56
    POSITIVE LOGITS
     personnel
    0.75
    personnel
    0.72
     PERSONNEL
    0.68
    Personnel
    0.68
    astéroïdes
    0.68
     Personnel
    0.65
     personel
    0.62
     operatives
    0.59
    PerPage
    0.59
    essoal
    0.58
    Activations Density 0.448%

    No Known Activations