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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 358
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    phrases related to suggestions or recommendations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/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.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gjenge
    -0.39
     pungkasnya
    -0.39
    出版年
    -0.39
     ausencia
    -0.36
     pungkas
    -0.34
    RegistryLite
    -0.33
     dificuldade
    -0.33
     مورد
    -0.33
     convertirse
    -0.33
     Impf
    -0.33
    POSITIVE LOGITS
     wise
    1.37
     wisest
    1.11
     prudent
    1.03
     wiser
    1.02
    wise
    1.02
     unwise
    0.96
    Wise
    0.95
     advisable
    0.94
     WISE
    0.91
     Wise
    0.90
    Activations Density 0.368%

    No Known Activations