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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. 12117
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    Explanations

    expressions of purchasing and shopping 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
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    No Comments

    Negative Logits
     Comunicação
    -0.43
    Jegyzetek
    -0.41
     Umfang
    -0.39
     sorpresas
    -0.38
    noční
    -0.37
     Jahrgang
    -0.37
    KURZBESCHREIBUNG
    -0.36
     Flucht
    -0.36
     picado
    -0.36
     masz
    -0.36
    POSITIVE LOGITS
     Target
    1.55
     Walmart
    1.39
    Target
    1.29
     Wal
    1.22
     Walgreens
    1.20
     walmart
    1.20
    Walmart
    1.17
     Costco
    1.16
     Targets
    1.09
     CVS
    1.09
    Activations Density 0.380%

    No Known Activations