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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 9727
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    Explanations

    references to various types of vegetables in food contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_11/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istoitu
    -0.55
    httphttps
    -0.50
    UpInside
    -0.47
    évaluateur
    -0.47
     AssemblyCulture
    -0.47
    ьажоргаш
    -0.44
    AnchorStyles
    -0.43
    AUTH
    -0.43
    Auth
    -0.43
     HFILL
    -0.42
    POSITIVE LOGITS
     vegetables
    0.88
    vegetables
    0.85
     veggies
    0.84
     Vegetables
    0.78
    Vegetables
    0.77
     vegetable
    0.75
    vegetable
    0.73
     Gemüse
    0.72
     broccoli
    0.68
    Vegetable
    0.67
    Activations Density 0.333%

    No Known Activations