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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. 0-RES-JB
    6. 16262
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    Explanations

    hashtags in text data

    oai_token-act-pair · gpt-3.5-turbo

    mentions of hashtags on social media platforms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tos
    -0.65
     Aberdeen
    -0.63
     Tests
    -0.63
    �
    -0.63
     Overse
    -0.62
     Payne
    -0.62
     Init
    -0.59
     ER
    -0.59
     Petersen
    -0.59
     Clear
    -0.58
    POSITIVE LOGITS
     hashtag
    3.89
     hasht
    2.78
     tweet
    1.58
     retweet
    1.56
     slogan
    1.47
     tweets
    1.32
     tweeting
    1.32
     emoji
    1.29
     "#
    1.28
     twitter
    1.27
    Activations Density 0.018%

    No Known Activations