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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. 2580
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    oai_token-act-pair · gpt-3.5-turbo

    formatted text or sections of documents, particularly those that resemble structured data or outlines

    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
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    Negative Logits
     tremend
    -1.02
     eleph
    -0.88
     occas
    -0.81
     oun
    -0.79
     citiz
    -0.77
     newcom
    -0.76
    aturdays
    -0.75
     mosqu
    -0.74
    ò
    -0.72
     hemor
    -0.72
    POSITIVE LOGITS
    ↵
    0.86
    ³³³³³³³³³³³³³³³³
    0.77
    ³³³³³³³³
    0.74
    pmwiki
    0.73
    ³³³
    0.72
    Els
    0.71
    Í
    0.71
    Rh
    0.70
    Further
    0.69
    âĢİ
    0.69
    Activations Density 0.121%

    No Known Activations