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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. 3292
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    INDEX
    Explanations

    mentions of Italian culture or references to Italian elements

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     coscienza
    -0.53
     decorazione
    -0.49
     Socorro
    -0.48
     termica
    -0.46
     titolata
    -0.45
     nemici
    -0.45
     peccato
    -0.45
     umana
    -0.45
     Chama
    -0.44
     isolato
    -0.43
    POSITIVE LOGITS
     Italian
    1.29
     Italy
    1.20
    Italian
    1.16
     Italians
    1.15
    Italy
    1.09
     italian
    1.08
    意大利
    1.02
    イタリア
    1.02
     Italien
    0.99
     italienischen
    0.98
    Activations Density 0.279%

    No Known Activations