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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. 0-RES-JB
    11. 11697
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    Explanations

    mentions or references to MIT

    oai_token-act-pair · gpt-3.5-turbo

    references to the Massachusetts Institute of Technology (MIT)

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tal
    -0.78
     travellers
    -0.69
    Ĥİ
    -0.68
    ateful
    -0.66
    wings
    -0.65
     recall
    -0.64
     troop
    -0.64
     filler
    -0.64
     scenery
    -0.63
    Country
    -0.63
    POSITIVE LOGITS
     MIT
    3.96
    MIT
    2.82
     Harvard
    1.73
     TED
    1.59
     NYU
    1.57
     Stanford
    1.46
     IEEE
    1.42
     Princeton
    1.38
     UCLA
    1.37
     Cambridge
    1.37
    Activations Density 0.017%

    No Known Activations