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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 6748
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    Explanations

    terms related to chemical compounds and processes, particularly in the context of semiconductor and material science

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

    This neuron activates for chemical and scientific terminology, particularly recognizing chemical compounds, elements, and scientific nomenclature.

    oai_token-act-pair · claude-3-7-sonnet-20250219Triggered by @neilrathi
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    newVal
    -0.58
     noqa
    -0.51
     gând
    -0.50
    Ể
    -0.47
    cancer
    -0.47
    seamnă
    -0.47
     căr
    -0.47
     NDL
    -0.47
    zA
    -0.46
    ョン
    -0.45
    POSITIVE LOGITS
    Miri
    0.69
    iti
    0.66
    iri
    0.65
    Viri
    0.63
    iI
    0.61
    ili
    0.59
     Miri
    0.58
    iin
    0.57
    ision
    0.56
    iis
    0.56
    Activations Density 7.813%

    No Known Activations