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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. 7470
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    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
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    Negative Logits
    دانشنامهٔ
    -0.39
     arkiv
    -0.39
     henvisninger
    -0.37
     colch
    -0.36
     EconPapers
    -0.35
     CreateTagHelper
    -0.35
     prioritise
    -0.35
     Receptors
    -0.34
    adpleegd
    -0.34
     Plots
    -0.34
    POSITIVE LOGITS
     costs
    0.84
     cost
    0.81
    cost
    0.72
    Cost
    0.70
     Cost
    0.69
     Costs
    0.68
    Costs
    0.68
    costs
    0.68
     coût
    0.65
     coûts
    0.64
    Activations Density 0.208%

    No Known Activations