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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 7900
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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 @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     muß
    -0.75
     mußten
    -0.59
     mußte
    -0.59
     daß
    -0.58
     Moslem
    -0.57
     skall
    -0.56
    faßt
    -0.56
     läßt
    -0.52
     Rumania
    -0.49
     müßte
    -0.49
    POSITIVE LOGITS
     nuanced
    1.16
     incentiv
    1.08
     impactful
    1.02
     underwhelming
    1.02
     Notably
    1.00
     prioritizing
    0.98
     microbiome
    0.97
     prioritized
    0.96
     prioritize
    0.96
     prioritise
    0.93
    Activations Density 11.812%

    No Known Activations