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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. 9-RES-JB
    11. 13969
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    Explanations

    references to social media posts, specifically 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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    undai
    -0.71
    vantage
    -0.70
     Trials
    -0.68
    illac
    -0.64
     Prest
    -0.64
    sbm
    -0.62
     clitor
    -0.61
     Vie
    -0.60
    senal
    -0.60
     Newport
    -0.59
    POSITIVE LOGITS
    storms
    1.27
    storm
    1.19
    deck
    0.95
     hashtag
    0.93
    weet
    0.92
    Tweet
    0.92
     hasht
    0.90
     retweet
    0.88
     "@
    0.87
     tweets
    0.85
    Activations Density 0.033%

    No Known Activations