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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 8898
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    INDEX
    Explanations

    phrases related to work, earning a living, and employment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases describing earning money or making a living through work.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Descubre
    -0.41
     Sakit
    -0.40
    ReusableCell
    -0.40
    getitem
    -0.38
     Budaya
    -0.37
     nakalista
    -0.37
     Descub
    -0.36
    EDEFAULT
    -0.35
     HttpNotFound
    -0.34
     Kasih
    -0.34
    POSITIVE LOGITS
     livelihood
    1.23
     living
    1.23
     earn
    1.16
    living
    1.13
     livelihoods
    1.08
     earning
    1.05
     earns
    1.05
    Living
    1.04
     Living
    1.01
     LIVING
    1.00
    Activations Density 0.119%

    No Known Activations