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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 9982
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    Explanations

    locations and entities related to Canadian cities and regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     realisation
    -0.62
     civilisation
    -0.59
     fertil
    -0.57
     emphasise
    -0.57
     localisation
    -0.57
     emphas
    -0.55
     emphasised
    -0.54
     optimisation
    -0.54
     realise
    -0.54
     realised
    -0.54
    POSITIVE LOGITS
     Ontario
    1.34
     Toronto
    1.31
     Canadians
    1.26
     Canadian
    1.24
     Canada
    1.23
     Manitoba
    1.23
     Ottawa
    1.23
    Toronto
    1.23
     Winnipeg
    1.22
    Ontario
    1.22
    Activations Density 2.044%

    No Known Activations