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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 5158
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    references to waste management and recycling statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Catawiki
    -0.40
    PyExc
    -0.38
     sostu
    -0.36
     Ketten
    -0.35
     autorización
    -0.35
     VizieR
    -0.34
    cambrian
    -0.34
    flags
    -0.34
    vand
    -0.33
     Wilderness
    -0.33
    POSITIVE LOGITS
     occupant
    0.89
     Building
    0.87
     building
    0.86
     occupants
    0.85
    Building
    0.77
     buildings
    0.75
     Buildings
    0.75
     BUILDING
    0.73
     LEED
    0.73
     Occup
    0.72
    Activations Density 0.180%

    No Known Activations