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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. 1-RES-JB
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    Explanations

    mentions or references to the social media platform "reddit."

    oai_token-act-pair · gpt-3.5-turbo

    references to Reddit and its associated features

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Joyce
    -0.71
     Lag
    -0.69
     Witness
    -0.67
     Becker
    -0.66
     instruments
    -0.65
     Foley
    -0.64
    CD
    -0.64
     Bened
    -0.63
     Sisters
    -0.63
     OD
    -0.62
    POSITIVE LOGITS
    reddit
    1.21
    reddits
    1.11
     reddit
    1.09
     subreddit
    1.06
     subreddits
    1.02
    Reddit
    0.95
    alion
    0.92
    icum
    0.89
    netflix
    0.81
    rant
    0.80
    Activations Density 0.015%

    No Known Activations