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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 7704
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    INDEX
    Explanations

    instances of the word "wet" and related terms about moisture and hydration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    surfaces or materials that are wet or related to wetness properties.

    oai_token-act-pair · claude-3-7-sonnet-20250219Triggered by @neilrathi
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ſicht
    -0.80
    <unused71>
    -0.75
    <unused52>
    -0.75
    <unused3>
    -0.75
     laſſen
    -0.75
    richTextPanel
    -0.75
    <unused16>
    -0.75
    <unused28>
    -0.75
    <unused14>
    -0.75
    <unused8>
    -0.75
    POSITIVE LOGITS
     wet
    1.96
    wet
    1.74
     Wet
    1.72
    Wet
    1.70
     WET
    1.47
    WET
    1.39
     wetter
    1.18
     basah
    1.16
     moist
    1.13
     wetting
    1.08
    Activations Density 0.203%

    No Known Activations