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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. 8355
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    Explanations

    instances of last names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people and places

    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
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    Negative Logits
    BuyableInstoreAndOnline
    -0.88
    atility
    -0.73
     Jonah
    -0.68
    edin
    -0.66
    ary
    -0.65
    imir
    -0.64
    anish
    -0.63
    ef
    -0.63
     unden
    -0.62
    XT
    -0.61
    POSITIVE LOGITS
    ples
    0.93
    metry
    0.91
    zynski
    0.74
    ãĥ¥
    0.73
    pling
    0.73
    ulously
    0.73
    pler
    0.71
     Broadcast
    0.70
     Hour
    0.68
    ãĤ§
    0.67
    Activations Density 0.020%

    No Known Activations