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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. 12145
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    Explanations

    universities and locations

    oai_token-act-pair · gpt-3.5-turbo

    locations associated with universities

    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
    warm
    -0.75
    paio
    -0.72
    wise
    -0.70
    ihadi
    -0.69
    ãĤ¯
    -0.68
     bins
    -0.67
    ppings
    -0.65
    ilant
    -0.65
     clans
    -0.64
    */(
    -0.63
    POSITIVE LOGITS
     Robotics
    0.86
     Ethics
    0.83
    uthor
    0.82
     Physics
    0.78
     Faculty
    0.77
     Education
    0.76
    UTH
    0.76
     Extension
    0.74
     Libraries
    0.73
     Laboratories
    0.73
    Activations Density 0.080%

    No Known Activations