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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 20346
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    Explanations

    tweets or mentions of tweets

    oai_token-act-pair · gpt-3.5-turbo

    references to tweets and social media interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cle
    -0.72
    èĢ
    -0.71
    cum
    -0.70
     Initi
    -0.65
     examinations
    -0.64
    dependent
    -0.64
    binding
    -0.63
    cycles
    -0.63
    Armor
    -0.62
    Beg
    -0.62
    POSITIVE LOGITS
     tweet
    3.72
     tweets
    2.62
     Tweet
    2.59
     retweet
    2.47
     tweeting
    2.33
     tweeted
    2.18
    Tweet
    2.13
     twitter
    1.85
     Twitter
    1.84
     hashtag
    1.83
    Activations Density 0.013%

    No Known Activations