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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. 2523
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    Explanations

    expletives and expressions of frustration or anger

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

    This neuron activates strongly on profanity and vulgar language, particularly censored expletives and curse words.

    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
     kasarigan
    -0.50
     TestBed
    -0.45
     mergeFrom
    -0.43
     fubject
    -0.42
     الرياضيه
    -0.42
     Italijanski
    -0.40
    ówczas
    -0.40
     cometh
    -0.40
     Schulter
    -0.40
    $_['
    -0.39
    POSITIVE LOGITS
    #+#
    0.60
    ValueStyle
    0.58
    Shit
    0.51
     shit
    0.48
     ***!
    0.47
     Shit
    0.47
    出版年
    0.45
    Tikang
    0.45
    +#+
    0.45
     localObject
    0.43
    Activations Density 0.153%

    No Known Activations