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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 3463
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    elements related to chefs and cooking in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Personendaten
    -0.59
    ⓧ
    -0.52
     kysy
    -0.49
     mögliche
    -0.49
     achtergrond
    -0.48
     eletrônico
    -0.45
     oorsp
    -0.45
     atardecer
    -0.45
    şört
    -0.44
     erste
    -0.44
    POSITIVE LOGITS
    脚注の使い方
    0.49
     Roskov
    0.44
     estekak
    0.44
    MENAFN
    0.44
     trad
    0.43
    こち
    0.41
    ことで
    0.40
     enca
    0.40
     OMITBAD
    0.39
     ICH
    0.39
    Activations Density 0.498%

    No Known Activations