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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 4765
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    Explanations

    references to travel logistics and airport experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    httphttps
    -0.86
    AndEndTag
    -0.76
     nakalista
    -0.63
    RegressionTest
    -0.60
     resourceCulture
    -0.59
    ValueStyle
    -0.57
     оригіналу
    -0.56
     transfieras
    -0.55
    Datuak
    -0.55
    AutoScaleMode
    -0.55
    POSITIVE LOGITS
     Airport
    0.45
     airport
    0.43
    airport
    0.41
     boarding
    0.39
    Airport
    0.39
    Boarding
    0.36
     Boarding
    0.34
     baggage
    0.33
    机场
    0.32
    lainen
    0.32
    Activations Density 0.271%

    No Known Activations