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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 11106
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    Explanations

    references to significant buildings and architectural structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ejerc
    -0.35
     meta
    -0.34
    Chham
    -0.34
     lắm
    -0.31
     np
    -0.30
    хео
    -0.29
    HIDDEN
    -0.29
    Côte
    -0.28
     onts
    -0.27
     darte
    -0.26
    POSITIVE LOGITS
     buildings
    1.35
     Buildings
    1.19
     building
    1.19
    buildings
    1.17
    Buildings
    1.13
     edifice
    1.08
    building
    1.06
     Gebäude
    1.04
     Building
    0.98
     bangunan
    0.98
    Activations Density 0.259%

    No Known Activations