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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 9572
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    specific Hindi and Kannada language characters and words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eben
    -0.49
     
    -0.47
     grande
    -0.41
    <u>
    -0.40
    _
    -0.39
     Flach
    -0.38
     ludicrous
    -0.36
    して
    -0.36
        
    -0.35
    ——
    -0.35
    POSITIVE LOGITS
    iſen
    1.00
    iſten
    0.90
    niſſe
    0.84
    ſcher
    0.80
     ſind
    0.79
    ロウィン
    0.79
     queſta
    0.79
    ésultats
    0.77
    iſchen
    0.76
    WriteTagHelper
    0.76
    Activations Density 0.103%

    No Known Activations