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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. 4-RES-JB
    11. 2061
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    keywords related to legal cases and governmental decisions, particularly regarding specific companies like Hobby Lobby, Fannie Mae, Freddie Mac, and court rulings

    oai_token-act-pair · gpt-3.5-turbo

    references to legal cases and related entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tosh
    -0.92
    iverpool
    -0.88
    DragonMagazine
    -0.87
     Whilst
    -0.87
     realise
    -0.85
     rumours
    -0.84
     analyse
    -0.78
     Jagu
    -0.77
    ieval
    -0.77
     Edinburgh
    -0.77
    POSITIVE LOGITS
    amacare
    1.26
     Medicaid
    1.11
    payer
    1.05
     insurer
    1.01
     Obamacare
    1.01
     insurers
    1.00
     ObamaCare
    0.99
     federally
    0.99
     HHS
    0.98
     nonprofits
    0.96
    Activations Density 0.620%

    No Known Activations