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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 25-GEMMASCOPE-RES-16K
    11. 1043
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    Explanations

    specific aspects related to tea preparation and its physical properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 25-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_25/width_16k/average_l0_116
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LookAnd
    -0.65
    DJANGO
    -0.58
     propOrder
    -0.54
     Lozano
    -0.50
     Hecht
    -0.50
    hassee
    -0.49
     HasFactory
    -0.49
     Bologna
    -0.48
     Marek
    -0.48
     Hopkins
    -0.47
    POSITIVE LOGITS
     tea
    1.70
     Tea
    1.52
    Tea
    1.39
     teas
    1.37
    tea
    1.27
     TEA
    1.21
     Teas
    1.15
     teapot
    1.14
    TEA
    1.09
     čaj
    0.93
    Activations Density 0.250%

    No Known Activations