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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 2995
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    Explanations

    mentions of coffee and cafes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     responsabilità
    -0.52
    alleye
    -0.49
     uszkod
    -0.48
     budowy
    -0.48
     zdan
    -0.48
    IBarButtonItem
    -0.47
     postępo
    -0.46
     Weisheit
    -0.45
    ecuzione
    -0.45
    Inhalte
    -0.44
    POSITIVE LOGITS
     coffee
    1.35
     Coffee
    1.23
    Coffee
    1.22
    coffee
    1.21
     COFFEE
    1.15
     espresso
    1.10
     Kaffee
    1.08
     coffe
    1.07
     koffie
    1.05
     caffeine
    1.05
    Activations Density 0.257%

    No Known Activations