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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    common words such as "can", "to", "can", "is", "'s", "learn", "and" or "I" followed by verbs such as "learn", "do", "take", or "help".

    oai_token-act-pair · gemini-2.0-flash

    learning, understanding

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_24/width_16k/average_l0_37
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    tagHelperRunner
    -1.00
     disambiguazione
    -0.73
     виправивши
    -0.72
    ThroughAttribute
    -0.71
     itſelf
    -0.67
     houſe
    -0.65
    Бахар
    -0.63
    AddTagHelper
    -0.63
     referenties
    -0.62
     समीक्षाओं
    -0.60
    POSITIVE LOGITS
     di
    0.45
    leting
    0.44
     зоне
    0.42
    酒
    0.42
    pense
    0.41
     j
    0.40
    putExtra
    0.40
    ound
    0.39
    ohist
    0.39
    nalpot
    0.39
    Activations Density 3.470%

    No Known Activations