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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 8400
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    programming syntax and structure elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     autorytatywna
    -0.92
    Personendaten
    -0.81
     CreateTagHelper
    -0.81
    ConstraintMaker
    -0.78
    Portale
    -0.76
     snippetHide
    -0.72
    AddTagHelper
    -0.71
    ſchen
    -0.71
    RTEE
    -0.70
     nonUne
    -0.70
    POSITIVE LOGITS
     text
    1.37
    text
    1.12
     текст
    0.71
     tekst
    0.60
     texto
    0.54
     ten
    0.54
     texte
    0.52
     test
    0.52
     context
    0.51
     текста
    0.50
    Activations Density 0.096%

    No Known Activations