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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 6093
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    proper nouns related to vehicles and their brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Allgeme
    -0.40
    NSNotification
    -0.40
    Biochemical
    -0.37
    참고
    -0.36
    ształ
    -0.34
    illoin
    -0.34
    ReactDOM
    -0.33
     Biele
    -0.33
    MenuInflater
    -0.33
     rhestr
    -0.33
    POSITIVE LOGITS
     Of
    0.69
     Runner
    0.66
     Breaker
    0.63
    master
    0.60
     Maker
    0.59
    Breaker
    0.59
    Maker
    0.58
     Shot
    0.57
     Dog
    0.56
    Master
    0.56
    Activations Density 0.578%

    No Known Activations