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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 11847
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 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
    akteur
    -0.68
    unnitel
    -0.63
     Myrtle
    -0.63
     Michoacán
    -0.62
     Houſe
    -0.61
     Pompey
    -0.61
     Shakspeare
    -0.61
     Diſ
    -0.61
     Williamsburg
    -0.60
     Lampung
    -0.59
    POSITIVE LOGITS
     Swiss
    1.58
     Switzerland
    1.39
    Swiss
    1.39
     swiss
    1.30
    Switzerland
    1.26
    swiss
    1.18
     Zurich
    1.12
     Schweizer
    1.06
     Zürich
    1.03
    瑞士
    1.02
    Activations Density 0.130%

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