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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 2645
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    Explanations

    terms related to logistics and material handling equipment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uxxxx
    -0.51
     EconPapers
    -0.50
    intios
    -0.49
    Atsauces
    -0.48
    windowFixed
    -0.46
    Derbyniad
    -0.46
     biograf
    -0.42
    ikä
    -0.42
     Reisedaten
    -0.41
     CreateTagHelper
    -0.40
    POSITIVE LOGITS
     warehouse
    1.40
     Warehouse
    1.24
     warehousing
    1.21
     warehouses
    1.20
     logistics
    1.20
    Warehouse
    1.12
     Logistics
    1.09
     forklift
    1.09
     pallet
    1.08
    warehouse
    1.05
    Activations Density 0.191%

    No Known Activations