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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 243
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    Explanations

    mentions of lunchtime or lunch-related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RequestMapping
    -0.58
    SafeMath
    -0.45
    paksa
    -0.43
    BindingResult
    -0.40
    preventDefault
    -0.40
    GetMapping
    -0.39
    LabelTagHelper
    -0.38
     truc
    -0.34
    保
    -0.33
     Argument
    -0.33
    POSITIVE LOGITS
     lab
    0.68
     resourceCulture
    0.65
     labs
    0.64
     disambiguazione
    0.62
    Personendaten
    0.60
     }{@
    0.60
    lunch
    0.59
    Track
    0.57
     somehow
    0.57
     workstation
    0.57
    Activations Density 0.310%

    No Known Activations