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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. 3-RES-JB
    11. 11370
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    Explanations

    keywords related to social media posts, specifically tweets

    oai_token-act-pair · gpt-3.5-turbo

    mentions of tweets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Penet
    -0.68
    vantage
    -0.67
     Brill
    -0.67
    CLUD
    -0.65
     Myth
    -0.63
     Priest
    -0.63
     Reborn
    -0.61
     Starr
    -0.61
     Gent
    -0.60
    iencies
    -0.60
    POSITIVE LOGITS
    storms
    1.15
    storm
    1.01
    Tweet
    1.00
     tweet
    0.99
     tweets
    0.97
     Tweet
    0.97
     hashtag
    0.91
    weet
    0.85
    deck
    0.83
     "@
    0.83
    Activations Density 0.020%

    No Known Activations