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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. 11-RES-JB
    6. 2868
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    Explanations

    ones with non-zero activation values

    oai_token-act-pair · gpt-3.5-turbo

    elements related to coding or programming concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     eleph
    -0.92
    hement
    -0.73
    ÃĥÃĤÃĥÃĤ
    -0.70
     newcom
    -0.69
     pione
    -0.67
    aditional
    -0.66
     occas
    -0.66
     proport
    -0.64
     Burnett
    -0.64
     undermin
    -0.62
    POSITIVE LOGITS
    Requirements
    0.98
    Testing
    0.93
    ↵
    0.92
    Async
    0.91
    ³³³
    0.91
    github
    0.90
    Installation
    0.88
    Deploy
    0.84
    package
    0.84
    Usage
    0.84
    Activations Density 0.266%

    No Known Activations