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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 16226
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    Explanations

    references to cheese-related dishes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Aholisi
    -0.56
     incomplète
    -0.53
    balleur
    -0.52
     Beagle
    -0.52
     propOrder
    -0.51
     Khartoum
    -0.51
    bootstrapcdn
    -0.50
     queſta
    -0.50
    jsxFileName
    -0.50
    ParallelGroup
    -0.50
    POSITIVE LOGITS
     cheese
    1.55
     Cheese
    1.27
     cheeses
    1.21
    cheese
    1.20
    Cheese
    1.17
    🧀
    1.07
     Käse
    1.06
    チーズ
    0.99
     cheddar
    0.96
     fromage
    0.89
    Activations Density 0.219%

    No Known Activations