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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. 5-RES-JB
    6. 3254
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    Explanations

    dates written in a specific format (month, day, year) combined with specific usernames

    oai_token-act-pair · gpt-3.5-turbo

    commas in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     expansions
    -0.85
     detectors
    -0.76
     predec
    -0.72
     successors
    -0.68
     expansion
    -0.67
     connections
    -0.66
     unnecess
    -0.66
    avorite
    -0.65
     glim
    -0.64
     superiors
    -0.64
    POSITIVE LOGITS
    000
    0.95
     2017
    0.90
     2016
    0.89
     2015
    0.88
     2018
    0.85
    05
    0.85
     2014
    0.84
     2012
    0.82
    080
    0.81
    2010
    0.81
    Activations Density 0.051%

    No Known Activations