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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 2256
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    elements related to educational strategies 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 @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     tartalomajánló
    -0.56
     poveznice
    -0.53
    новниш
    -0.52
    IndentedString
    -0.48
    VYMaps
    -0.45
     IndexPath
    -0.42
    :✨
    -0.42
     joaat
    -0.41
     onPostExecute
    -0.41
     DbType
    -0.40
    POSITIVE LOGITS
     learning
    3.19
     learn
    3.16
     learns
    2.83
     learned
    2.69
     Learn
    2.66
     Learning
    2.61
    learn
    2.59
     learnt
    2.58
    Learn
    2.56
     LEARN
    2.48
    Activations Density 0.517%

    No Known Activations