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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. 5859
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    Explanations

    terms associated with winning and success in various contexts, particularly in competitive or enterprise settings

    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
    ViewFeatures
    -0.59
     mukana
    -0.41
     Schluß
    -0.41
     surla
    -0.41
     geweest
    -0.40
     nahilalakip
    -0.40
    autant
    -0.38
     hilang
    -0.38
     asimismo
    -0.37
     devrez
    -0.36
    POSITIVE LOGITS
    winning
    0.70
     typ
    0.67
     Defense
    0.62
     enterprise
    0.61
     edit
    0.60
    Winning
    0.60
     Winning
    0.60
    typ
    0.59
     Decisions
    0.59
     Defence
    0.58
    Activations Density 0.241%

    No Known Activations