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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. 11117
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    Explanations

    components and quantities related to cooking and food preparation

    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
     shelves
    -0.41
     cucchiai
    -0.39
    consulté
    -0.39
    Билгалдахарш
    -0.39
     Flasche
    -0.38
     Shelves
    -0.37
     linguri
    -0.37
     cucchia
    -0.37
    Bottle
    -0.36
     spoon
    -0.36
    POSITIVE LOGITS
     propOrder
    0.67
     Zip
    0.60
     zip
    0.56
    MLLoader
    0.54
     Shooter
    0.51
     ſmall
    0.50
    Zip
    0.50
     mixing
    0.49
     mason
    0.49
     Py
    0.48
    Activations Density 0.278%

    No Known Activations