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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
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    Explanations

    references to pottery and ceramic materials

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

    This neuron detects mentions of ceramic materials and pottery-related terms.

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

    words related to ceramic materials and pottery artifacts.

    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
     Steel
    -0.39
    Steel
    -0.39
     fale
    -0.38
     houten
    -0.38
     gyhoeddwyd
    -0.36
    Steak
    -0.36
    Carson
    -0.36
     legno
    -0.36
     aço
    -0.35
     Monfieur
    -0.35
    POSITIVE LOGITS
     ceramic
    0.98
     pottery
    0.96
     ceramics
    0.92
     Ceramic
    0.92
     glaze
    0.91
    Ceramic
    0.87
     Ceramics
    0.86
     porcelain
    0.85
    ceramic
    0.85
     Pottery
    0.82
    Activations Density 0.148%

    No Known Activations