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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. 11-RES-JB
    11. 4774
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    Explanations

    words related to pollution and environmental issues, particularly related to air quality and industrial activities

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to environmental hazards and pollutants

    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
     persona
    -0.79
     surg
    -0.77
     cuff
    -0.76
     cheek
    -0.74
     liberty
    -0.72
    rawdownloadcloneembedreportprint
    -0.71
     autobi
    -0.71
     pedigree
    -0.69
     congr
    -0.69
     kosher
    -0.68
    POSITIVE LOGITS
    storms
    1.18
    enery
    1.18
    vironments
    1.16
    bris
    1.10
    gradation
    1.09
    forestation
    1.07
    ewater
    1.07
    ogging
    1.05
     rains
    1.04
     landsl
    1.02
    Activations Density 0.221%

    No Known Activations