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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. 7-RES-JB
    11. 23782
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    Explanations

    references to specific academic institutions and government departments

    oai_token-act-pair · gpt-3.5-turbo

    references to institutions or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    blank
    -0.78
    oidal
    -0.76
    minus
    -0.73
    pause
    -0.69
    pedia
    -0.66
     sqor
    -0.64
     stride
    -0.63
    achev
    -0.62
    nation
    -0.62
    aldi
    -0.62
    POSITIVE LOGITS
     Health
    0.82
     Agriculture
    0.79
    Crime
    0.79
     Ethics
    0.78
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     Excellence
    0.77
    veland
    0.77
     Commerce
    0.77
     Expo
    0.75
     Athletics
    0.74
    Activations Density 0.089%

    No Known Activations