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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. 8-RES-JB
    6. 8823
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    Explanations

    technology-related content, particularly focusing on advancements and innovations

    oai_token-act-pair · gpt-3.5-turbo

    references to advancements in technology and entertainment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     However
    -0.63
     Applicant
    -0.62
     Originally
    -0.62
    notations
    -0.62
    amental
    -0.61
     Occupations
    -0.58
    )/
    -0.57
     etc
    -0.57
     Alternatively
    -0.57
     whereas
    -0.57
    POSITIVE LOGITS
     unveiling
    0.78
     boldly
    0.76
     newest
    0.73
    Redditor
    0.70
     Patreon
    0.68
     Kickstarter
    0.66
     revamped
    0.64
     newcomer
    0.63
     indie
    0.62
     crowdfunding
    0.60
    Activations Density 1.415%

    No Known Activations