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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 11640
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    Explanations

    references to the Roman culture and its elements

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Normdatei
    -0.52
     كومونز
    -0.49
     الحره
    -0.48
     createSlice
    -0.46
    艋
    -0.44
     basePath
    -0.43
     parseFrom
    -0.43
     Infórmanos
    -0.43
    InputTagHelper
    -0.42
    paccio
    -0.42
    POSITIVE LOGITS
     Roman
    1.61
    Roman
    1.43
     roman
    1.23
     ROMAN
    1.15
    roman
    1.07
     romantic
    0.86
     Romantic
    0.85
     Роман
    0.85
     Rom
    0.84
    Rom
    0.82
    Activations Density 0.075%

    No Known Activations