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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 5402
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    Explanations

    descriptions of vehicles involved in criminal activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Արտաքին
    -0.40
     Wool
    -0.38
    Minneapolis
    -0.37
     awakeFromNib
    -0.37
     Stardust
    -0.36
     welds
    -0.36
     enunci
    -0.35
     Nic
    -0.34
    обре
    -0.34
    nons
    -0.34
    POSITIVE LOGITS
     vehicles
    0.66
     Vehicles
    0.66
     chariot
    0.66
     carriages
    0.65
    MLLoader
    0.63
     trucks
    0.62
     cars
    0.62
     vehicle
    0.61
    Vehicles
    0.59
     truck
    0.58
    Activations Density 0.353%

    No Known Activations