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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. 6-RES-JB
    11. 13872
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    oai_token-act-pair · gpt-3.5-turbo

    URLs and certain formatting elements related to online content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    tions
    -0.82
    =-=-=-=-
    -0.78
    glers
    -0.66
     calcul
    -0.65
    verning
    -0.64
    âĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪ
    -0.63
     Thur
    -0.63
     shelters
    -0.61
     equivalents
    -0.60
     meantime
    -0.60
    POSITIVE LOGITS
    dp
    0.84
    bryce
    0.82
    src
    0.80
    daq
    0.79
    ItemThumbnailImage
    0.77
    bleacher
    0.77
    cms
    0.77
     PLoS
    0.75
    utm
    0.75
    cd
    0.74
    Activations Density 0.068%

    No Known Activations