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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. 14717
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    Explanations

    phrases related to environmental pollution and heavy metal analysis

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     resourceCulture
    -0.45
     initComponents
    -0.44
    addContainerGap
    -0.43
     CreateTagHelper
    -0.41
     rospy
    -0.40
     HttpNotFound
    -0.38
     reckoned
    -0.38
     totiž
    -0.38
    DataSnapshot
    -0.37
     StatelessWidget
    -0.37
    POSITIVE LOGITS
     analytical
    0.59
     analyte
    0.56
     analy
    0.54
     recoveries
    0.48
    EPA
    0.48
     EPA
    0.48
     Analytical
    0.48
    analy
    0.47
     Method
    0.47
    Method
    0.47
    Activations Density 0.231%

    No Known Activations