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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. 6550
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    phrases related to ecological impacts and water quality measurements

    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
    Not in Any Lists

    No Comments

    Negative Logits
     GenerationType
    -0.52
     ExecuteAsync
    -0.48
    XtraEditors
    -0.47
    CURLOPT
    -0.44
     geslacht
    -0.43
    RTEX
    -0.40
     jsPsych
    -0.40
    encodeWith
    -0.40
     elevator
    -0.40
    ArgumentParser
    -0.40
    POSITIVE LOGITS
     pollution
    1.00
     pollutants
    0.90
     pollutant
    0.83
     polluted
    0.83
    pollution
    0.80
     Pollution
    0.80
     contaminación
    0.78
    Pollution
    0.78
     discharges
    0.76
     contaminants
    0.76
    Activations Density 0.258%

    No Known Activations