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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 6540
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    Explanations

    references to royalty

    oai_token-act-pair · gpt-3.5-turbo

    references to royalty

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Loaded
    -0.81
     Extend
    -0.80
    onica
    -0.79
    Ñı
    -0.78
    ulhu
    -0.75
    LER
    -0.74
    geist
    -0.73
     Humanity
    -0.73
    orem
    -0.70
     Canaver
    -0.69
    POSITIVE LOGITS
     decree
    1.00
     palace
    0.97
    pin
    0.96
     pard
    0.95
     princes
    0.92
     decre
    0.89
     prince
    0.85
     coffers
    0.84
     royal
    0.80
     pardon
    0.79
    Activations Density 0.011%

    No Known Activations