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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. 3-RES-JB
    11. 13265
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    Explanations

    terms related to air pollution and greenhouse gases

    oai_token-act-pair · gpt-3.5-turbo

    terms related to environmental pollution and air quality regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ragon
    -0.71
    ZI
    -0.70
    canon
    -0.69
     Vaj
    -0.66
     tactical
    -0.63
     recap
    -0.62
     Series
    -0.62
     flashes
    -0.61
     borrowed
    -0.61
     veiled
    -0.60
    POSITIVE LOGITS
     pollution
    0.99
     pollutants
    0.97
     pollut
    0.95
     polluted
    0.95
     toxins
    0.93
     footprint
    0.91
     unhealthy
    0.90
     ozone
    0.89
     contaminants
    0.89
    mite
    0.87
    Activations Density 0.280%

    No Known Activations