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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. 3712
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    Explanations

    references to tourism and hospitality metrics

    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
     almacén
    -0.42
     gynhyrchwyd
    -0.39
    parsedMessage
    -0.38
     garaje
    -0.36
    FilterChain
    -0.35
    Personendaten
    -0.35
    expandindo
    -0.35
    Microkernel
    -0.34
    oredCriteria
    -0.34
     reich
    -0.33
    POSITIVE LOGITS
     tourism
    1.45
     Tourism
    1.41
     tourist
    1.30
    Tourism
    1.30
     Tourist
    1.27
     tourists
    1.23
    tourism
    1.23
     Tourists
    1.18
    Tourist
    1.11
    tourist
    1.04
    Activations Density 0.219%

    No Known Activations