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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 5-GEMMASCOPE-RES-16K
    6. 2429
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    references to trains and railroads

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 5-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_5/width_16k/average_l0_68
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.5.hook_resid_post
    Hook Layer
    5
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Siro
    -0.75
    جوايز
    -0.74
    tory
    -0.73
    cstring
    -0.71
    gés
    -0.70
    ņas
    -0.69
     Cuth
    -0.68
    Життєпис
    -0.67
     DbContext
    -0.67
    SCAPE
    -0.66
    POSITIVE LOGITS
     train
    2.10
     Train
    2.07
     trains
    1.97
     TRAIN
    1.95
    Train
    1.90
     Trains
    1.84
    train
    1.79
    Trains
    1.73
    TRAIN
    1.70
    trains
    1.67
    Activations Density 0.053%

    No Known Activations