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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 14495
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    references to work performance and productivity challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     trace
    -0.42
     unt
    -0.37
    ภัย
    -0.36
     Trace
    -0.36
     arbit
    -0.34
     traces
    -0.33
     Sacrific
    -0.33
     sacrificial
    -0.33
     neg
    -0.32
    italic
    -0.32
    POSITIVE LOGITS
     boredom
    0.86
     bored
    0.69
     idleness
    0.69
     Jefus
    0.66
     idle
    0.66
     inactivity
    0.65
    暇
    0.65
     occuper
    0.63
     Wikimedijinoj
    0.61
    Bored
    0.60
    Activations Density 0.321%

    No Known Activations