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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 9397
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    modal verbs and their usage in sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     للاسماء
    -0.75
     nakalista
    -0.66
     pokrač
    -0.65
    OGND
    -0.65
     CreateTagHelper
    -0.60
    出版年
    -0.58
     كومونز
    -0.57
     beschik
    -0.57
     surla
    -0.56
    routeProvider
    -0.56
    POSITIVE LOGITS
     ואת
    0.36
     vastaan
    0.34
     sponsoring
    0.33
    ől
    0.33
    nickname
    0.32
    iolis
    0.32
    halb
    0.32
     simulate
    0.30
     betrifft
    0.29
     categorize
    0.29
    Activations Density 0.089%

    No Known Activations