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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 11033
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    proper nouns, particularly names and places related to Lithuania and its history

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     occhiali
    -0.63
     affari
    -0.57
     corpi
    -0.56
     vostri
    -0.52
     capelli
    -0.52
     tasche
    -0.52
     confronti
    -0.49
    ſſer
    -0.48
    tifact
    -0.48
     pensieri
    -0.48
    POSITIVE LOGITS
     buvo
    0.59
     ir
    0.57
     tė
    0.57
     iš
    0.56
     vė
    0.56
     prieš
    0.54
     yra
    0.54
     Iš
    0.53
     į
    0.52
     kaip
    0.51
    Activations Density 0.087%

    No Known Activations