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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 14196
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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 @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     birçok
    -0.80
     wielu
    -0.75
     berbagai
    -0.73
     многих
    -0.73
     vieler
    -0.70
     många
    -0.68
     muchos
    -0.68
     milliers
    -0.68
     muitas
    -0.66
     segala
    -0.66
    POSITIVE LOGITS
     namely
    1.18
    分别是
    1.17
    分別
    1.16
     respectively
    1.00
    分别
    0.99
     apiece
    0.99
    namely
    0.97
     each
    0.90
    それぞれ
    0.88
     Namely
    0.86
    Activations Density 0.825%

    No Known Activations