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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 14671
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    Explanations

    aspects related to trees and wooded environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    extAlignment
    -0.63
    Hozzáférés
    -0.60
    protoimpl
    -0.59
    lido
    -0.54
     Peasant
    -0.53
    itonitis
    -0.53
     dredge
    -0.51
    脚注の使い方
    -0.51
    MLLoader
    -0.51
     Dred
    -0.50
    POSITIVE LOGITS
     trees
    1.34
     Trees
    1.13
    Trees
    1.07
     tree
    1.03
     TREES
    0.99
     Bäume
    0.96
    trees
    0.96
     arbres
    0.87
     alberi
    0.87
     TREE
    0.85
    Activations Density 0.140%

    No Known Activations