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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. 5691
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    Explanations

    tweets mentioning images

    oai_token-act-pair · gpt-3.5-turbo

    references to social media activities, particularly related to posting images and tweets

    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
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    Negative Logits
     laboratories
    -0.84
     Trials
    -0.77
     treaties
    -0.76
     Flavoring
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    enary
    -0.74
     defects
    -0.73
     unequ
    -0.72
     Lect
    -0.71
     asbestos
    -0.71
     museums
    -0.70
    POSITIVE LOGITS
     retweet
    1.54
     "@
    1.44
     hasht
    1.41
    Redditor
    1.41
     "#
    1.33
    Reddit
    1.23
    Twitter
    1.22
     hashtag
    1.19
     tweeted
    1.19
    username
    1.18
    Activations Density 0.819%

    No Known Activations