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    5. 23-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    this neuron seems to be identifying legal or law enforcement documents and procedures.

    oai_token-act-pair · gemini-2.0-flash

    Law enforcement/legal

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_23/width_16k/average_l0_25
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     department
    -0.59
     departments
    -0.58
    FXML
    -0.51
     knockdown
    -0.51
     vla
    -0.49
     Departments
    -0.48
    Cá
    -0.47
    Autowired
    -0.46
    departments
    -0.46
     thức
    -0.46
    POSITIVE LOGITS
    Personendaten
    0.67
     kaarangay
    0.63
    ----</
    0.60
    PreferredItem
    0.58
     ComVisible
    0.58
    rungsseite
    0.57
    homonymie
    0.56
     Akismet
    0.55
    protoc
    0.54
    TypedDataSet
    0.54
    Activations Density 0.935%

    No Known Activations