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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 7129
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    Explanations

    mention of wine and wine-related experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     WINE
    -0.58
     Wine
    -0.54
    تقاوى
    -0.51
     wine
    -0.49
    Wine
    -0.49
     Administrativna
    -0.46
    Wein
    -0.45
     BEER
    -0.45
     Beer
    -0.44
     wein
    -0.44
    POSITIVE LOGITS
     blend
    0.67
     aged
    0.62
     blends
    0.60
     tasting
    0.59
     blended
    0.57
     envejec
    0.56
     Aged
    0.55
     ageing
    0.54
     tasted
    0.53
    Aged
    0.52
    Activations Density 0.082%

    No Known Activations