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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 6618
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    references to stores and retail environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Whittaker
    -0.48
     Archer
    -0.47
     Feasibility
    -0.41
    gheny
    -0.41
    Höhe
    -0.40
    Jakie
    -0.40
     Berger
    -0.39
    engeance
    -0.39
     Guilherme
    -0.39
     Ginger
    -0.38
    POSITIVE LOGITS
     store
    1.73
     Store
    1.73
    Store
    1.70
    store
    1.63
     STORE
    1.59
    STORE
    1.45
     Stores
    1.40
     stores
    1.38
    Stores
    1.34
    getStore
    1.34
    Activations Density 0.082%

    No Known Activations