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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. 12622
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    references to iron-related factors or genes

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

    The neuron detects chemical elements and prefixes in scientific and technical contexts, particularly "Fe" (iron) and prefixes like "fe-" in words.

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

    the word "fe" at the beginning of multi-part words (like "feature," "fetal," "feasibility," "Fe-regulated").

    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
    TagMode
    -0.52
    labus
    -0.39
     Hauptstadt
    -0.38
    Trama
    -0.36
     capitán
    -0.35
     raised
    -0.35
     Wagen
    -0.35
     transparencia
    -0.35
    ówno
    -0.35
     pintores
    -0.35
    POSITIVE LOGITS
     FetchType
    0.69
     Fe
    0.64
     フェ
    0.60
     Fé
    0.56
     Fet
    0.53
     Felic
    0.51
     Fey
    0.51
     felicity
    0.51
    rungsseite
    0.50
     &___
    0.50
    Activations Density 0.314%

    No Known Activations