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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. 9877
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    elements of structured data or code syntax

    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
    ionalmente
    -0.35
     ModelExpression
    -0.33
     themselves
    -0.33
     Certains
    -0.33
     tertentu
    -0.32
     Certaines
    -0.32
     annat
    -0.32
     themſelves
    -0.31
    NoSuchAlgorithm
    -0.31
    ésultat
    -0.30
    POSITIVE LOGITS
     оригіналу
    0.73
     ⋅
    0.70
    sizeCache
    0.68
     ∙
    0.68
    发表于
    0.68
     disambiguazione
    0.66
     ·
    0.64
    Personendaten
    0.60
     يتيمه
    0.59
     |
    0.59
    Activations Density 0.339%

    No Known Activations