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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 15403
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    references to specific sports achievements and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     surla
    -0.47
    reactstrap
    -0.47
     Administrativna
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     Conditioning
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    __':
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    bootstrapcdn
    -0.40
    ALM
    -0.39
     hjemme
    -0.39
     desmotivaciones
    -0.38
     Normdatei
    -0.37
    POSITIVE LOGITS
     <>",
    0.43
     multer
    0.42
    Erstellt
    0.41
    PickerController
    0.41
    freopen
    0.40
    Tembelea
    0.40
    sscanf
    0.39
    ☚
    0.39
    OSSARY
    0.39
     Metro
    0.39
    Activations Density 0.254%

    No Known Activations