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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. 7-RES-JB
    11. 5071
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    Explanations

    mentions of notable figures and events in the public sphere

    oai_token-act-pair · gpt-3.5-turbo

    discussions about significant events or controversies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    aceae
    -0.65
     manageable
    -0.59
    erenn
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     concess
    -0.57
    gencies
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     administr
    -0.57
     Lumpur
    -0.56
    theless
    -0.56
     |--
    -0.56
     biod
    -0.55
    POSITIVE LOGITS
     "#
    0.88
     plagiar
    0.88
    Reddit
    0.78
     "@
    0.76
     libel
    0.75
     porn
    0.73
     retweet
    0.73
     accuser
    0.71
    votes
    0.71
     boycott
    0.69
    Activations Density 1.565%

    No Known Activations