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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. 7371
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    Explanations

    keywords related to contaminants and filtration mechanisms in engineering contexts

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

    This neuron detects terms related to unwanted contaminants, debris, and blockages in mechanical or physical systems.

    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
    bootstrapcdn
    -0.44
     fiebre
    -0.44
    IBOutlet
    -0.44
    VersionUID
    -0.38
     censiti
    -0.38
     carré
    -0.38
    imédia
    -0.37
    efois
    -0.37
     acomp
    -0.37
     Bewußt
    -0.37
    POSITIVE LOGITS
    exitRule
    0.49
     clogging
    0.48
     sediment
    0.48
     Sediment
    0.47
     cleaning
    0.45
     fouling
    0.42
    Sediment
    0.42
    MessageTagHelper
    0.42
     Administrativna
    0.42
    jspb
    0.41
    Activations Density 0.414%

    No Known Activations