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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 7895
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    Explanations

    references to trains and railway-related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "train"

    np_acts-logits-general · gemini-2.0-flash

    train and train track

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cuth
    -0.82
    tory
    -0.79
     bénévol
    -0.76
     Siro
    -0.75
    SCAPE
    -0.74
     Sedgwick
    -0.72
    chong
    -0.71
    isks
    -0.70
    addFlags
    -0.69
     bersi
    -0.69
    POSITIVE LOGITS
     TRAIN
    1.07
     Train
    1.06
     train
    1.04
     trains
    0.99
    Train
    0.96
    TRAIN
    0.95
     Trains
    0.86
    Trains
    0.86
    train
    0.83
    InvalidProtocol
    0.77
    Activations Density 0.086%

    No Known Activations