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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 13721
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    references to the Mercedes-Benz brand and its vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    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
    -0.50
     Moose
    -0.44
     íntimo
    -0.44
     cdti
    -0.44
     évêque
    -0.43
     communautaire
    -0.43
     Bupati
    -0.42
     vetorial
    -0.42
    Municipio
    -0.42
     Polsek
    -0.42
    POSITIVE LOGITS
     Mercedes
    1.03
     AMG
    1.00
    Mercedes
    0.85
     Benz
    0.81
     mercedes
    0.79
    mercedes
    0.76
     amg
    0.75
    AMG
    0.75
     Merc
    0.72
    Benz
    0.71
    Activations Density 0.295%

    No Known Activations