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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 1580
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    Explanations

    references to shopping experiences and retail environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asgi
    -0.54
    IUrlHelper
    -0.53
    WithIOException
    -0.52
     itinéraires
    -0.48
     afbeelding
    -0.47
    GEBURTSDATUM
    -0.47
    brtc
    -0.47
     fieldNum
    -0.45
     uitvo
    -0.45
     initComponents
    -0.45
    POSITIVE LOGITS
     shopping
    1.21
     shoppers
    0.97
     shop
    0.91
     store
    0.91
     Shopping
    0.88
    shopping
    0.87
     stores
    0.85
     shops
    0.83
     supermarket
    0.81
    Shopping
    0.81
    Activations Density 0.288%

    No Known Activations