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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 6142
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    Explanations

    references to luxury vehicle brands and models

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vectorielle
    -0.52
     Bupati
    -0.50
     cdti
    -0.48
     vetorial
    -0.48
     bolí
    -0.45
     AppCompatTheme
    -0.44
     Kraken
    -0.43
     Moose
    -0.42
     Normandie
    -0.41
    Municipio
    -0.41
    POSITIVE LOGITS
     Mercedes
    0.98
     AMG
    0.90
     Benz
    0.81
    Mercedes
    0.79
     mercedes
    0.74
    Benz
    0.70
     MB
    0.69
     benz
    0.69
    mercedes
    0.69
     amg
    0.67
    Activations Density 0.194%

    No Known Activations