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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 840
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    phrases related to product recommendations and their qualities

    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
    出版年
    -0.41
    Hozzáférés
    -0.41
    ScopeManager
    -0.39
    brengen
    -0.39
    artigen
    -0.36
    ристання
    -0.36
    artiges
    -0.35
     bezig
    -0.35
     CreateTagHelper
    -0.34
     wyposa
    -0.34
    POSITIVE LOGITS
     оригіналу
    0.79
     withstand
    0.75
     fit
    0.62
     easily
    0.60
     readily
    0.59
     accomod
    0.59
     meld
    0.57
     stack
    0.57
     blends
    0.57
     survived
    0.56
    Activations Density 0.414%

    No Known Activations