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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. 5-RES-JB
    6. 1404
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    Explanations

    references to specific groups of people or individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to different groups of people, particularly women and individuals with medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥķãĤ©
    -0.90
    rawdownloadcloneembedreportprint
    -0.81
    Assembly
    -0.80
    Oracle
    -0.78
    Unity
    -0.77
    Capital
    -0.76
    Politics
    -0.76
    é»Ĵ
    -0.75
    Platform
    -0.75
    Shadow
    -0.74
    POSITIVE LOGITS
    opausal
    1.10
     diagnosed
    1.02
     undergoing
    1.00
     ingested
    0.98
     aged
    0.98
     hormone
    0.94
     hospitalized
    0.94
     ingest
    0.88
    olesterol
    0.87
     afflicted
    0.87
    Activations Density 0.178%

    No Known Activations