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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 2941
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    INDEX
    Explanations

    references to specific universities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of universities and geographical locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wagon
    -0.70
     Tornado
    -0.69
     Directive
    -0.61
     cra
    -0.59
     Latest
    -0.58
     loyal
    -0.58
     FIGHT
    -0.58
     DPR
    -0.57
    oshenko
    -0.57
    ndum
    -0.57
    POSITIVE LOGITS
    University
    1.26
     universities
    1.17
     University
    1.09
    College
    1.05
    orgetown
    1.04
     Harvard
    1.03
     Faculty
    1.02
     Universities
    1.00
    negie
    0.97
     School
    0.95
    Activations Density 0.217%

    No Known Activations