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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 4239
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    Explanations

    references to transportation and railways, particularly mentioning specific railway systems and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    期刊论文
    -0.47
    脚注の使い方
    -0.45
     Naf
    -0.44
    tagHelper
    -0.44
    Glück
    -0.42
     setTimeout
    -0.41
    Jäh
    -0.39
    hésitez
    -0.37
    toHaveBeenCalled
    -0.36
    fitrión
    -0.36
    POSITIVE LOGITS
    ry
    0.62
    adaptiveStyles
    0.51
    Clark
    0.50
    RY
    0.50
     arşivlendi
    0.49
     CLARK
    0.49
    chrome
    0.49
     Chrome
    0.48
     câte
    0.48
     CreateTagHelper
    0.48
    Activations Density 1.464%

    No Known Activations