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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. 10-RES-JB
    6. 20546
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    INDEX
    Explanations

    references to research findings and academia, particularly focusing on conflicts or limitations related to reporting or publishing

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to scientific research and governmental influence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adelphia
    -0.89
    é»Ĵ
    -0.88
    bnb
    -0.85
     Strongh
    -0.82
    lando
    -0.82
    nah
    -0.80
    bread
    -0.80
    addin
    -0.78
     eviction
    -0.78
     Theft
    -0.77
    POSITIVE LOGITS
     scientific
    1.88
     scientists
    1.84
     academia
    1.69
     research
    1.67
     Scientific
    1.65
     scholarly
    1.65
     scientist
    1.63
     science
    1.63
     researchers
    1.63
     academics
    1.59
    Activations Density 0.685%

    No Known Activations