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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 647
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    Explanations

    patterns in formatted data and code structures

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    parsedMessage
    -1.04
    
    -1.02
    <unused43>
    -1.02
     Geſch
    -1.02
    <unused74>
    -1.02
    <unused41>
    -1.02
    <unused14>
    -1.01
    <unused16>
    -1.01
    <unused8>
    -1.01
    <unused3>
    -1.01
    POSITIVE LOGITS
    ,
    0.85
     
    0.78
     (
    0.69
    .
    0.65
     the
    0.60
    (
    0.60
     and
    0.60
      
    0.59
     -
    0.56
    -
    0.55
    Activations Density 0.725%

    No Known Activations