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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. 11-RES-JB
    11. 102
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    INDEX
    Explanations

    mentions of medical procedures or injuries

    oai_token-act-pair · gpt-3.5-turbo

    phrases conveying negative experiences or challenging situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rosso
    -0.83
    ML
    -0.66
    neapolis
    -0.65
    Brow
    -0.63
    âĻ¦
    -0.63
    Link
    -0.62
     caucus
    -0.61
    asury
    -0.61
    Tumblr
    -0.60
     Expand
    -0.60
    POSITIVE LOGITS
     unlucky
    1.20
     lucky
    1.05
     misfortune
    0.98
     perished
    0.96
     risking
    0.95
     fortunately
    0.93
     fortunate
    0.92
     luckily
    0.91
     helpless
    0.91
     perish
    0.91
    Activations Density 1.152%

    No Known Activations