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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. 6-RES-JB
    6. 11155
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    Explanations

    dates and specific events or occurrences mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    specific dates or references to time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jri
    -0.82
    uden
    -0.82
    speak
    -0.77
    roo
    -0.74
    hyde
    -0.73
    rencies
    -0.70
    etsy
    -0.70
    eryl
    -0.69
    OGR
    -0.69
    erate
    -0.65
    POSITIVE LOGITS
    flower
    0.90
    pole
    0.77
     finale
    0.76
     2017
    0.76
     2015
    0.75
     2016
    0.74
     Fourth
    0.72
     2014
    0.69
    furt
    0.68
     blockbuster
    0.68
    Activations Density 0.059%

    No Known Activations