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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 3203
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    Explanations

    mentions of cheese and related culinary details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     incomplète
    -0.51
    sidemargin
    -0.43
    Източници
    -0.42
    bootstrapcdn
    -0.41
    keyframes
    -0.41
    Демографія
    -0.41
    wapV
    -0.41
     Beagle
    -0.41
     Khartoum
    -0.40
    webElementXpaths
    -0.40
    POSITIVE LOGITS
     cheese
    1.61
     Cheese
    1.36
     cheeses
    1.30
    cheese
    1.28
    Cheese
    1.27
    🧀
    1.18
     cheddar
    1.17
     Käse
    1.12
     Cheddar
    1.08
    チーズ
    1.03
    Activations Density 0.203%

    No Known Activations