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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 4813
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    Explanations

    phrases related to travel logistics and transportation

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

    Transportation methods

    np_acts-logits-general · gemini-2.0-flash

    train and transport

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RenderAtEndOf
    -0.49
    Дереккөздер
    -0.41
     opérations
    -0.40
    SharedDtor
    -0.40
    تقاوى
    -0.40
    rrggbb
    -0.40
    inguez
    -0.40
    SYSC
    -0.40
    agisse
    -0.39
     okuyayım
    -0.39
    POSITIVE LOGITS
     train
    0.75
     trains
    0.74
     Amtrak
    0.68
     buses
    0.67
     Trains
    0.66
     TRAIN
    0.64
     Train
    0.63
    train
    0.63
    Train
    0.60
    TRAIN
    0.57
    Activations Density 0.144%

    No Known Activations