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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 7791
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    references to the city of London

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/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.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ternut
    -0.54
    izr
    -0.51
    logous
    -0.46
    tisgarh
    -0.45
    OREM
    -0.45
    Varint
    -0.44
    ValueStyle
    -0.44
     GNA
    -0.42
     dealloc
    -0.42
    تقاوى
    -0.41
    POSITIVE LOGITS
     London
    1.05
    London
    0.95
     Londres
    0.93
     Paris
    0.87
     LONDON
    0.85
     Moscow
    0.85
     Amsterdam
    0.85
     Londra
    0.85
     Tokyo
    0.84
     Moscú
    0.80
    Activations Density 0.130%

    No Known Activations