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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. 9683
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    proper nouns, particularly names and identifiers

    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
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    Negative Logits
    anlage
    -0.42
    anlagen
    -0.40
     ferdig
    -0.37
     éditoriale
    -0.35
     hø
    -0.35
     zelve
    -0.33
     følger
    -0.33
    ską
    -0.33
     Bárbara
    -0.33
     Köz
    -0.33
    POSITIVE LOGITS
     utafitiHapana
    0.60
     snippetHide
    0.59
    CrossRef
    0.54
    ྑ
    0.54
    AddTagHelper
    0.54
    DataAnnotations
    0.54
     שוליים
    0.50
    Viited
    0.50
    +:+
    0.50
    SourceChecksum
    0.49
    Activations Density 0.269%

    No Known Activations