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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 15121
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    Explanations

    references to food and drink consumption, particularly in relation to rituals and health contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     محفوظة
    -0.63
    addCriterion
    -0.59
    期刊论文
    -0.58
    parsedMessage
    -0.56
    WEBPACK
    -0.56
     lenker
    -0.54
    MLLoader
    -0.54
    ymmetric
    -0.54
     MainAxisSize
    -0.54
     ObjectParameter
    -0.53
    POSITIVE LOGITS
     drink
    0.50
    服用
    0.47
     intake
    0.45
     ingestion
    0.44
     swallow
    0.44
     Drink
    0.43
     consume
    0.42
     ingested
    0.40
     consumption
    0.40
     ingest
    0.40
    Activations Density 0.337%

    No Known Activations