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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 1500
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    Explanations

    terms related to expertise and professionalism

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     surla
    -0.70
    transQ
    -0.67
    MessageTagHelper
    -0.58
    AndEndTag
    -0.57
    Дереккөздер
    -0.56
     intStringLen
    -0.55
     BoxDecoration
    -0.55
    Diweddarwch
    -0.55
    VIAF
    -0.53
    ſelf
    -0.51
    POSITIVE LOGITS
     expert
    0.95
    expert
    0.86
     professional
    0.84
     amateur
    0.82
     freshly
    0.78
     Expert
    0.75
     fresh
    0.74
     Professional
    0.73
     expertise
    0.73
    professional
    0.72
    Activations Density 0.279%

    No Known Activations