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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 8305
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    references to Italian culture and people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bibfield
    -0.52
    endosi
    -0.51
     coscienza
    -0.47
     picioare
    -0.46
     trebui
    -0.45
     bēr
    -0.43
     gomma
    -0.41
     pioggia
    -0.41
    nissen
    -0.41
     vuotta
    -0.41
    POSITIVE LOGITS
    lusconi
    0.75
     Italian
    0.69
     italian
    0.68
     italy
    0.68
     Italy
    0.67
    Italian
    0.66
    Italy
    0.61
     autorytatywna
    0.61
    lgari
    0.60
     Italians
    0.59
    Activations Density 0.757%

    No Known Activations