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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. 10-RES-JB
    6. 9019
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    Explanations

    sentence endings, possibly focused on conclusions or summaries

    oai_token-act-pair · gpt-3.5-turbo

    sentences that conclude or summarize discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isbury
    -0.75
    undai
    -0.73
     negoti
    -0.73
     electr
    -0.72
     bonded
    -0.72
     eleph
    -0.72
     displacement
    -0.71
     hatch
    -0.70
     unthinkable
    -0.69
     tremend
    -0.69
    POSITIVE LOGITS
     Anyway
    1.66
    Anyway
    1.62
     Nonetheless
    1.49
     Nevertheless
    1.43
     Suff
    1.40
     Regardless
    1.30
     Hopefully
    1.25
     However
    1.25
    Firstly
    1.21
     Readers
    1.20
    Activations Density 0.404%

    No Known Activations