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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 3730
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    Explanations

    the word "much" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sedia
    -0.38
     pères
    -0.37
     CURIAM
    -0.36
    Lorsque
    -0.36
     siguientes
    -0.35
    towy
    -0.35
     Lorsqu
    -0.35
    TextLabel
    -0.35
    年後
    -0.35
    возь
    -0.35
    POSITIVE LOGITS
     much
    2.91
    Much
    2.73
    much
    2.70
     Much
    2.59
     mucho
    2.41
     MUCH
    2.17
    mucho
    2.00
     muito
    1.89
     beaucoup
    1.86
     viel
    1.81
    Activations Density 0.256%

    No Known Activations