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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 8094
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    specific proper nouns, particularly names and brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     itſelf
    -0.96
     myſelf
    -0.80
    ſelf
    -0.74
     CreateTagHelper
    -0.74
    ThroughAttribute
    -0.74
     uſed
    -0.73
     resourceCulture
    -0.73
    webElementXpaths
    -0.72
    Tikang
    -0.70
     tartalomajánló
    -0.70
    POSITIVE LOGITS
     Lor
    0.50
    しまう
    0.49
    op
    0.48
    av
    0.48
     Schar
    0.44
     erlauben
    0.44
     is
    0.44
    ap
    0.43
     jogar
    0.42
     laying
    0.41
    Activations Density 2.327%

    No Known Activations