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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. 12-RES-JB
    11. 5038
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    Explanations

    information related to environmental pollution and its effects

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    terms related to environmental contamination and pollutants

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    irrel
    -0.74
     welf
    -0.72
     externalToEVAOnly
    -0.70
    ļéĨĴ
    -0.69
     Aust
    -0.66
    icka
    -0.61
    UNCH
    -0.61
    slice
    -0.61
     Bj
    -0.60
     Grants
    -0.60
    POSITIVE LOGITS
     PCB
    1.56
     carcin
    1.35
     arsenic
    1.35
     contaminants
    1.34
    aldehyde
    1.16
     contamin
    1.16
     mercury
    1.15
     neurot
    1.15
     contamination
    1.15
    ocrine
    1.09
    Activations Density 0.259%

    No Known Activations