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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 13685
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    Explanations

    references to different types of trucks and trucking-related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 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
     Witness
    -0.50
     witness
    -0.49
    Witness
    -0.47
     biological
    -0.46
    énario
    -0.43
    EINVAL
    -0.43
    :✨
    -0.41
    LIO
    -0.41
     upstream
    -0.41
     cellular
    -0.41
    POSITIVE LOGITS
    truck
    0.61
     tackling
    0.60
     Truck
    0.60
     tackled
    0.59
     truck
    0.59
     Biôgrafia
    0.57
     tackle
    0.54
    Truck
    0.53
     TRUCK
    0.52
    PreferredItem
    0.52
    Activations Density 0.076%

    No Known Activations