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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. 1016
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    Explanations

    linguistic features related to language and dialects

    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
    Not in Any Lists

    No Comments

    Negative Logits
     анг
    -0.60
     Englishman
    -0.58
     engelsk
    -0.54
     englisch
    -0.53
     Englishmen
    -0.52
    日本人
    -0.52
     ingles
    -0.51
     Koreans
    -0.51
     inglês
    -0.50
     engl
    -0.48
    POSITIVE LOGITS
     dialect
    0.68
     dialects
    0.67
    dialect
    0.63
     Standard
    0.60
     Dial
    0.59
     standard
    0.56
    Standard
    0.54
    Dialect
    0.53
     variedades
    0.52
     spoken
    0.51
    Activations Density 0.295%

    No Known Activations