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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. 11755
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    references to busy lifestyles, particularly among working women and parents

    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
     graça
    -0.43
     Hayashi
    -0.40
     déclen
    -0.39
     refugi
    -0.38
     rusak
    -0.37
     bakso
    -0.36
     istrinya
    -0.36
    gebnisse
    -0.36
     föruts
    -0.36
     déclar
    -0.35
    POSITIVE LOGITS
     busy
    1.23
    Busy
    1.07
     Busy
    1.06
    忙
    1.03
    busy
    1.01
     busiest
    0.96
     hectic
    0.89
    忙しい
    0.88
     multitasking
    0.85
     juggling
    0.84
    Activations Density 0.269%

    No Known Activations