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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 417
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    references to career advancements and transitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fieltro
    -0.52
     chrétien
    -0.49
     conservé
    -0.49
    ContentAlignment
    -0.48
     aislado
    -0.48
     antemano
    -0.48
    eachtet
    -0.48
     riego
    -0.47
     propOrder
    -0.47
     mejorado
    -0.47
    POSITIVE LOGITS
     replace
    0.72
     replacing
    0.70
    replacing
    0.65
     replaces
    0.59
     replacement
    0.58
     Replace
    0.57
     displace
    0.57
     Replacing
    0.55
     substitute
    0.54
    replace
    0.54
    Activations Density 0.459%

    No Known Activations