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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 13180
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    references to specific food preparation and cooking methods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    KommentareTeilen
    -0.52
     Jefus
    -0.47
    AddTagHelper
    -0.46
     Gouvernement
    -0.46
     gouver
    -0.45
     gouvernement
    -0.43
     Perſ
    -0.43
     Conſ
    -0.42
     Lokales
    -0.42
     desierto
    -0.42
    POSITIVE LOGITS
     grinding
    1.11
     crushing
    1.10
     grind
    1.06
     crush
    1.05
     crushed
    1.03
     grinder
    0.99
     Grinding
    0.99
     Grind
    0.96
     shred
    0.95
     Crush
    0.95
    Activations Density 0.411%

    No Known Activations