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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. 2-RES-JB
    11. 13393
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    Explanations

    mentions of the social media platform "Facebook"

    oai_token-act-pair · gpt-3.5-turbo

    references to social media, specifically Facebook

    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
    ptin
    -0.69
    ursed
    -0.68
    OPE
    -0.67
    ~~~~~~~~~~~~~~~~
    -0.67
     Dise
    -0.65
    bery
    -0.63
    obin
    -0.63
    Synopsis
    -0.62
     Croat
    -0.60
    nces
    -0.60
    POSITIVE LOGITS
     Messenger
    0.91
    username
    0.87
    nect
    0.85
     Username
    0.84
    acebook
    0.79
    Twitter
    0.79
     Likes
    0.78
    LinkedIn
    0.78
     Twitter
    0.77
     accounts
    0.73
    Activations Density 0.017%

    No Known Activations