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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. 8-RES-JB
    11. 13082
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    Explanations

    mentions or references to universities

    oai_token-act-pair · gpt-3.5-turbo

    references to universities or institutions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    othy
    -0.78
    BACK
    -0.74
    trap
    -0.70
    obyl
    -0.63
     sheets
    -0.63
    Jere
    -0.62
    riot
    -0.62
    BOOK
    -0.62
    roxy
    -0.61
    owder
    -0.61
    POSITIVE LOGITS
     tuition
    1.08
     campuses
    1.07
    uates
    1.02
     graduate
    0.94
     campus
    0.93
     lecturer
    0.91
     Students
    0.90
     faculty
    0.89
     alumni
    0.89
     graduates
    0.89
    Activations Density 0.052%

    No Known Activations