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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. 8587
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    references to specific models or brands of sneakers

    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
    SourceChecksum
    -0.40
     food
    -0.38
     rowspan
    -0.36
     policy
    -0.35
     statewide
    -0.34
    EventName
    -0.34
    Editing
    -0.34
     coal
    -0.33
    KommentareTeilen
    -0.33
     impro
    -0.32
    POSITIVE LOGITS
     CreateTagHelper
    0.76
     chronograph
    0.69
    erai
    0.65
     Wrist
    0.64
    watches
    0.63
     watches
    0.63
     Watches
    0.62
     EconPapers
    0.62
     Seiko
    0.61
     wrist
    0.60
    Activations Density 0.065%

    No Known Activations