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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. 7380
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    Explanations

    names of judges

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals and entities

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    No Comments

    Negative Logits
     vortex
    -0.76
     date
    -0.72
     offline
    -0.69
     grid
    -0.69
     geop
    -0.68
     partic
    -0.65
     microphones
    -0.65
     academics
    -0.65
     servic
    -0.62
     foss
    -0.62
    POSITIVE LOGITS
    ij士
    0.96
    obia
    0.92
    âĸĪâĸĪâĸĪâĸĪ
    0.92
    asus
    0.90
    agall
    0.89
    ordan
    0.89
    wark
    0.86
    raq
    0.84
    hib
    0.83
    anus
    0.83
    Activations Density 0.286%

    No Known Activations