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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. 4580
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    Explanations

    references to institutions, such as universities and banks

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various types of institutions, particularly educational and organizational ones

    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
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    Negative Logits
     Powder
    -0.73
     Rockies
    -0.70
     powder
    -0.67
    DEN
    -0.66
    storms
    -0.66
    THER
    -0.65
    PLA
    -0.63
     sled
    -0.63
    gets
    -0.62
    req
    -0.61
    POSITIVE LOGITS
    itutional
    1.02
     institution
    0.89
    utions
    0.88
     Institution
    0.88
    ally
    0.87
    ually
    0.86
     institutions
    0.85
    arians
    0.85
    itute
    0.77
    rity
    0.76
    Activations Density 0.013%

    No Known Activations