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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 5661
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    Explanations

    instances where individuals are being given opportunities for advancement or new experiences

    oai_token-act-pair · gpt-3.5-turbo

    opportunities and chances for success in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Confederacy
    -0.80
     Sew
    -0.72
    Ħ¢
    -0.69
     Capitalism
    -0.67
     Econom
    -0.67
    Grid
    -0.63
    count
    -0.63
    nea
    -0.62
    flat
    -0.61
    articles
    -0.60
    POSITIVE LOGITS
     opportunities
    1.10
     stint
    1.09
     linem
    1.02
     opportunity
    1.00
     seasoning
    1.00
     outings
    1.00
     teammates
    0.98
     mentors
    0.97
     audition
    0.96
     cameo
    0.96
    Activations Density 0.368%

    No Known Activations