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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. 16893
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    INDEX
    Explanations

    mentions of Twitter activity

    oai_token-act-pair · gpt-3.5-turbo

    references to social media activity, especially on Twitter

    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
     asbestos
    -0.88
    iHUD
    -0.80
     appendix
    -0.77
     CRC
    -0.76
    pdf
    -0.75
    bestos
    -0.72
     Auditor
    -0.71
     Siem
    -0.69
     Bagg
    -0.68
     examinations
    -0.68
    POSITIVE LOGITS
     retweet
    2.32
     tweets
    2.24
     hasht
    2.12
     tweet
    2.07
     tweeting
    2.05
     Twitter
    2.00
     hashtag
    1.95
    Twitter
    1.88
     twitter
    1.86
     tweeted
    1.85
    Activations Density 0.445%

    No Known Activations