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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. 9949
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    Explanations

    references to various types of peppers and spicy foods

    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
     close
    -0.82
     Close
    -0.79
    Close
    -0.71
     closeness
    -0.70
     closer
    -0.66
    close
    -0.66
     Closer
    -0.62
     CLOSE
    -0.59
    CLOSE
    -0.57
     closest
    -0.56
    POSITIVE LOGITS
     pepper
    1.27
     peppers
    1.23
     Pepper
    1.13
    Pepper
    1.09
    🌶
    1.08
     Peppers
    1.04
     chili
    1.03
    pepper
    1.02
     chilli
    1.00
     spicy
    0.92
    Activations Density 0.141%

    No Known Activations