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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 10719
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    references to retail environments 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 @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     opdracht
    -0.53
    PMailer
    -0.45
     EconPapers
    -0.44
     persoons
    -0.43
     Administrativna
    -0.43
    énieur
    -0.39
    skosten
    -0.38
     朝食
    -0.38
     onderwerp
    -0.38
     onderhoud
    -0.38
    POSITIVE LOGITS
     store
    2.61
     stores
    2.22
     Store
    2.16
     shop
    2.08
    store
    2.05
    Store
    2.02
     STORE
    1.99
     retailer
    1.89
     Stores
    1.88
    stores
    1.84
    Activations Density 0.445%

    No Known Activations