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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 12586
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    items related to automotive features and specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    verwijspagina
    -0.48
     isEqualToString
    -0.47
    OGND
    -0.45
    KommentareTeilen
    -0.43
    CDCl
    -0.42
     vives
    -0.41
    Jîn
    -0.40
    nible
    -0.39
    pirable
    -0.39
    SpringRunner
    -0.38
    POSITIVE LOGITS
     equipped
    1.73
     adorned
    1.57
     decorated
    1.54
    equipped
    1.34
     armed
    1.29
     Equipped
    1.28
     equipado
    1.21
     decked
    1.21
     embellished
    1.20
     coated
    1.19
    Activations Density 1.274%

    No Known Activations