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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. 2-RES-JB
    6. 16420
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    INDEX
    Explanations

    references to social media posts, particularly tweets

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "tweet."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sbm
    -0.73
    ajor
    -0.69
    hibited
    -0.68
    ccording
    -0.67
    cum
    -0.66
    vantage
    -0.65
    NetMessage
    -0.65
    pure
    -0.64
     Penet
    -0.63
     Brill
    -0.63
    POSITIVE LOGITS
     tweet
    1.08
    storms
    1.07
     Tweet
    1.05
    storm
    1.00
    Tweet
    1.00
     hashtag
    0.94
     tweets
    0.93
    deck
    0.89
    aires
    0.80
     emoji
    0.80
    Activations Density 0.007%

    No Known Activations