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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 4765
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    Explanations

    phrases related to vehicle performance and issues associated with specific car models

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     épaules
    -0.79
     bienfaits
    -0.58
     lèvres
    -0.58
     vérit
    -0.56
     frontières
    -0.53
     oreilles
    -0.51
     côtés
    -0.50
     connaissances
    -0.50
     rigue
    -0.49
     surla
    -0.48
    POSITIVE LOGITS
     cars
    1.55
     machines
    1.49
     vehicles
    1.47
     bikes
    1.46
     boats
    1.42
     vessels
    1.37
     phones
    1.34
     devices
    1.27
     ships
    1.27
     computers
    1.26
    Activations Density 3.701%

    No Known Activations