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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. 4-RES-JB
    11. 16115
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    Explanations

    phrases related to catching up or reconnecting with someone or something

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "caught up."

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

    No Comments

    Negative Logits
     McMaster
    -0.73
    ught
    -0.66
    obar
    -0.66
    xtap
    -0.64
     bis
    -0.64
     downgrade
    -0.63
    separ
    -0.62
    ongyang
    -0.60
    gee
    -0.59
    ramid
    -0.59
    POSITIVE LOGITS
     Vaugh
    0.81
    icts
    0.73
    CHAT
    0.73
    ictions
    0.71
    és
    0.64
    scl
    0.63
    ust
    0.63
    Ü
    0.62
     Sovere
    0.62
    stairs
    0.62
    Activations Density 0.020%

    No Known Activations