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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 2923
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    Explanations

    references to moisture and wetness

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     betweenstory
    -0.63
     parachoque
    -0.63
    richTextPanel
    -0.63
    lapsingToolbar
    -0.60
     Italij
    -0.60
    탤
    -0.59
     चीज़ों
    -0.59
    complexType
    -0.57
     '\\;'
    -0.56
     Picchu
    -0.55
    POSITIVE LOGITS
     wet
    2.81
     Wet
    2.45
    wet
    2.42
    Wet
    2.38
     WET
    1.84
    WET
    1.78
     dry
    1.39
     wetter
    1.34
    湿
    1.30
     basah
    1.24
    Activations Density 0.023%

    No Known Activations