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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 2185
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    Explanations

    terms related to food preparation and culinary processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    words describing items, materials, or substances that are densely packed, filled, or heavily laden.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للمعارف
    -0.64
    SequentialGroup
    -0.60
    
    -0.56
    Бахар
    -0.51
    scribers
    -0.50
    FormTagHelper
    -0.50
     EconPapers
    -0.48
     intptr
    -0.48
    +#+
    -0.48
     Dop
    -0.48
    POSITIVE LOGITS
     with
    1.42
     dengan
    0.77
    with
    0.66
     עם
    0.61
     avec
    0.60
     với
    0.59
    ด้วย
    0.58
     със
    0.54
    With
    0.54
     With
    0.52
    Activations Density 0.493%

    No Known Activations