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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 4435
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    references to jewelry and related thefts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Coke
    -0.37
     PRINCE
    -0.36
     mandar
    -0.36
     goog
    -0.35
     crate
    -0.35
     tarp
    -0.34
     bedrooms
    -0.34
     silos
    -0.34
     Casper
    -0.34
     crates
    -0.33
    POSITIVE LOGITS
     jewellery
    1.12
     jewelry
    1.10
     joyería
    1.01
     Jewelry
    1.01
     Jewellery
    0.99
    jewelry
    0.93
     gioielli
    0.92
    Jewelry
    0.92
     necklaces
    0.91
     necklace
    0.89
    Activations Density 0.101%

    No Known Activations