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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 5272
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    references to investment and resource allocation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     دیکھیے
    -0.57
    ########.
    -0.50
    XmlAccessType
    -0.50
     informée
    -0.46
     Савезне
    -0.45
    httphttps
    -0.45
    ۜ
    -0.44
     klä
    -0.43
     незавершена
    -0.43
    FINED
    -0.42
    POSITIVE LOGITS
     devote
    0.60
     dedic
    0.59
     investment
    0.59
     dedica
    0.59
     investimento
    0.58
     devoting
    0.58
     invest
    0.58
     attention
    0.57
     devoted
    0.57
     dedication
    0.56
    Activations Density 0.442%

    No Known Activations