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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. 6-RES-JB
    6. 21576
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    Explanations

    keywords related to technology and software, such as programming languages, software tools, and tech companies

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to technology and software applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.82
    debian
    -0.76
    ffield
    -0.73
    itsch
    -0.73
    rencies
    -0.72
    âĢİ
    -0.70
    onies
    -0.70
    kept
    -0.69
    opol
    -0.69
    hillary
    -0.68
    POSITIVE LOGITS
     Network
    0.74
     Desktop
    0.73
     Reference
    0.72
     Composite
    0.72
     Expedition
    0.72
     Store
    0.71
     Advantage
    0.71
     XD
    0.71
     Defender
    0.70
     Term
    0.70
    Activations Density 0.401%

    No Known Activations