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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. MLP Out - 131k
    9. 6-GEMMASCOPE-MLP-131K
    11. 107955
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    Explanations

    references to vehicles, specifically cars

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-9b-pt-mlp/layer_6/width_131k/average_l0_72
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.6.hook_mlp_out
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     car
    -0.50
    
    -0.47
     cars
    -0.46
     carro
    -0.45
     timedelta
    -0.39
    ⓧ
    -0.39
     ImportError
    -0.37
    igshid
    -0.37
    Observed
    -0.37
    ngOnInit
    -0.36
    POSITIVE LOGITS
    RegressionTest
    0.55
    Демографія
    0.54
     Савезне
    0.52
    exitRule
    0.47
    下载附件
    0.47
     AssemblyCulture
    0.45
    хьтан
    0.44
    ftagPool
    0.44
    virano
    0.44
     znamen
    0.43
    Activations Density 0.009%

    No Known Activations