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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. 12044
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    Explanations

    references to batteries and their components, particularly electric and rechargeable types

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

    This neuron detects electrical devices that use batteries or power sources, particularly focusing on electronic products like cameras, razors, batteries, and other consumer electronics.

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

    numbers and numerical data, particularly in technical specifications and measurements.

    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
    BufferException
    -0.49
    \{\\
    -0.45
    WebElementEntity
    -0.43
    +#+
    -0.42
     racks
    -0.41
     normalization
    -0.41
    Normalization
    -0.41
     müſſen
    -0.40
     laſſen
    -0.40
    ⟭
    -0.39
    POSITIVE LOGITS
     batteries
    1.06
    Batteries
    0.91
     Batteries
    0.91
     battery
    0.89
     Battery
    0.81
    電池
    0.78
    batter
    0.77
    battery
    0.75
    Battery
    0.73
     llavero
    0.71
    Activations Density 0.303%

    No Known Activations