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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 512
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    information related to transportation and travel logistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    exterior
    -0.50
     balances
    -0.49
    toBeTruthy
    -0.48
    fills
    -0.47
    ennas
    -0.47
    psum
    -0.46
    trails
    -0.46
     Akismet
    -0.46
    bestos
    -0.46
    street
    -0.46
    POSITIVE LOGITS
     виправивши
    0.41
    :✨
    0.41
     ferry
    0.38
     مرئيه
    0.38
     Савезне
    0.37
     trenes
    0.37
     aerolí
    0.36
     flights
    0.35
     train
    0.35
    adaptiveStyles
    0.35
    Activations Density 0.307%

    No Known Activations