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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. 9-RES-JB
    6. 14960
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    Explanations

    people and their behaviors related to health and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to people and psychological or health-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tainment
    -0.90
    Politics
    -0.88
    jri
    -0.83
    rawdownloadcloneembedreportprint
    -0.82
    Accessory
    -0.82
     actionGroup
    -0.81
    Assembly
    -0.80
    Business
    -0.77
    TPS
    -0.76
    INESS
    -0.75
    POSITIVE LOGITS
     diagnosed
    1.15
    opausal
    1.10
     undergoing
    1.09
     studied
    1.02
     chronically
    1.00
     vaccinated
    0.99
     tested
    0.97
     underwent
    0.97
     afflicted
    0.93
     prone
    0.93
    Activations Density 0.270%

    No Known Activations