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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 6-GEMMASCOPE-RES-16K
    11. 15293
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    references to Kuala Lumpur and its local cuisine, particularly South Indian food

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 6-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_6/width_16k/average_l0_70
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     resourceCulture
    -0.64
    writeFieldEnd
    -0.56
    AsUp
    -0.56
    elemField
    -0.55
    يكب
    -0.54
    SharedDtor
    -0.53
     prover
    -0.53
    Попис
    -0.52
     برانيه
    -0.51
     stanovnika
    -0.50
    POSITIVE LOGITS
     Malaysia
    1.31
    Malaysia
    1.27
     LUMP
    1.26
     Malaysian
    1.25
     Lumpur
    1.22
    BASEPATH
    1.09
     Malay
    1.00
    Malay
    0.99
     Kuala
    0.97
    UALA
    0.91
    Activations Density 0.114%

    No Known Activations