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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. 12553
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    Explanations

    proper nouns indicating names of individuals or entities involved in legal or business contexts

    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
    
    -0.82
     disambiguazione
    -0.73
     increí
    -0.72
    etheless
    -0.71
    majánló
    -0.71
    genodigd
    -0.69
     surla
    -0.69
    arangay
    -0.68
     kasarigan
    -0.66
     indígen
    -0.66
    POSITIVE LOGITS
     Hotel
    0.30
     hotel
    0.28
     employés
    0.26
     Exchange
    0.24
     City
    0.24
     j
    0.23
     agent
    0.23
     cik
    0.23
     agents
    0.23
    録
    0.22
    Activations Density 0.586%

    No Known Activations