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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. 2-RES-JB
    11. 8123
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    Explanations

    words related to pollution and contamination, especially with a focus on water sources and hazardous waste

    oai_token-act-pair · gpt-3.5-turbo

    terms related to lead contamination and environmental health issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Torment
    -0.76
    --------------------------------------------------------
    -0.72
     Swords
    -0.69
    CLASSIFIED
    -0.69
     Poster
    -0.68
     Robbie
    -0.68
    âĺĨ
    -0.66
     Submission
    -0.65
     univers
    -0.63
    HCR
    -0.62
    POSITIVE LOGITS
     contaminants
    1.23
     contamin
    1.20
     disinfect
    1.11
     contaminated
    1.10
     chemicals
    1.07
     pollut
    1.04
     contamination
    1.04
     pollutants
    1.00
     advis
    0.99
     ammonia
    0.99
    Activations Density 0.268%

    No Known Activations