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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 3999
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    Explanations

    terms related to refrigeration and refrigerants

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     dust
    -0.48
     skyl
    -0.47
     polig
    -0.44
    skyl
    -0.43
    WY
    -0.43
    Demografie
    -0.43
    featureID
    -0.42
    spk
    -0.41
    styleUrls
    -0.41
     CIR
    -0.41
    POSITIVE LOGITS
     fridge
    0.94
     refrigerator
    0.90
     Kühlschrank
    0.86
     Fridge
    0.85
     geladeira
    0.80
     Refrigerator
    0.80
     refrigerators
    0.79
     refrigerador
    0.78
     freezer
    0.75
     nevera
    0.70
    Activations Density 0.252%

    No Known Activations