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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. 9033
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    elements related to research methods and study design

    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
     vectorielles
    -0.46
    mbggenerated
    -0.45
     שוליים
    -0.45
     vectorielle
    -0.44
     AspNetCore
    -0.44
    
    -0.44
    gemeente
    -0.43
    Beijo
    -0.43
     assayed
    -0.43
    パンマン
    -0.43
    POSITIVE LOGITS
     qualitative
    1.31
     Qualitative
    1.11
    Qualitative
    1.06
     qualit
    0.85
     ethnographic
    0.84
     qualitatively
    0.83
     interviews
    0.82
    qual
    0.80
     ethn
    0.78
     Ethn
    0.77
    Activations Density 0.628%

    No Known Activations