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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. 16323
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    Explanations

    terms related to laundry and washing machine operation

    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
    ⓧ
    -0.34
     ruling
    -0.30
     cabos
    -0.29
     Ruling
    -0.29
     muze
    -0.28
     Ruhm
    -0.28
    DATABASE
    -0.28
     ralla
    -0.27
    server
    -0.27
     calipers
    -0.27
    POSITIVE LOGITS
     laundry
    1.28
     Laundry
    1.15
    laundry
    1.09
     ironing
    1.09
    Laundry
    1.07
     laund
    1.02
     dryer
    1.00
     laundering
    0.94
     washing
    0.93
    洗濯
    0.93
    Activations Density 0.163%

    No Known Activations