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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 14751
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    elements related to education and learning methodologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    новниш
    -0.46
     tartalomajánló
    -0.46
    IndentedString
    -0.42
     poveznice
    -0.42
     فريبيس
    -0.41
     joaat
    -0.41
    Manbalar
    -0.40
    Externé
    -0.40
    VYMaps
    -0.39
     autorytatywna
    -0.39
    POSITIVE LOGITS
     learning
    3.39
     learn
    3.36
     learns
    3.05
     learned
    2.95
     learnt
    2.84
     Learning
    2.81
     Learn
    2.80
    learn
    2.78
    Learn
    2.73
     aprender
    2.70
    Activations Density 0.691%

    No Known Activations