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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 14869
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    INDEX
    Explanations

    references to materials and their compositions in manufacturing and engineering contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    descriptions of materials used in manufacturing or construction, particularly when contrasting different materials like metal, plastic, ceramic, or steel.

    oai_token-act-pair · claude-3-7-sonnet-20250219Triggered by @neilrathi

    comparisons between materials (such as plastic vs. metal, steel vs. ceramic).

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     puentes
    -0.49
     bouche
    -0.39
     pingente
    -0.39
     lâmpada
    -0.39
     limão
    -0.38
     rallado
    -0.37
     Walkover
    -0.37
     suco
    -0.36
     łóż
    -0.35
     jegy
    -0.35
    POSITIVE LOGITS
     metal
    1.32
     wooden
    1.20
     wood
    1.20
     plastic
    1.20
     steel
    1.17
     fiberglass
    1.16
     glass
    1.13
    metal
    1.13
     aluminum
    1.13
     stainless
    1.13
    Activations Density 0.759%

    No Known Activations