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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 6969
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    Explanations

    references to groups of people and their actions or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_8/width_16k/average_l0_99
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     corregir
    -0.39
     tunt
    -0.39
     olvidar
    -0.38
     tunn
    -0.38
     aéreo
    -0.34
     proceder
    -0.33
     hidráulica
    -0.33
     costly
    -0.33
     problemática
    -0.33
     matéria
    -0.33
    POSITIVE LOGITS
     people
    1.12
     persons
    1.04
    people
    1.00
     Persons
    0.98
     People
    0.97
    eseorang
    0.96
    People
    0.93
     PEOPLE
    0.93
     perfons
    0.92
     person
    0.90
    Activations Density 0.658%

    No Known Activations