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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 1046
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    Explanations

    phrases related to expertise and experience in a professional context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     linkovi
    -0.63
    ingdon
    -0.57
    upol
    -0.57
    urlopen
    -0.54
    MessageTagHelper
    -0.53
     kasarigan
    -0.52
     morning
    -0.52
     ping
    -0.51
    atonic
    -0.51
    COUVER
    -0.51
    POSITIVE LOGITS
     expertise
    1.18
     Expertise
    1.04
    Expertise
    1.01
     experience
    1.01
    expertise
    0.98
    Experience
    0.93
     expert
    0.90
     knowledge
    0.88
     Experience
    0.88
     exper
    0.88
    Activations Density 0.180%

    No Known Activations