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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. 21900
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    Explanations

    references to environmental protection agencies and related topics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to environmental regulations and the actions of the EPA

    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
    rencies
    -0.82
     kidn
    -0.79
    slice
    -0.78
     Mandela
    -0.76
    EStream
    -0.74
     ransom
    -0.73
     hostages
    -0.73
     chess
    -0.71
    afort
    -0.71
     Allaah
    -0.71
    POSITIVE LOGITS
     EPA
    1.85
    EPA
    1.76
     pollution
    1.60
    Environmental
    1.60
     Environmental
    1.60
     pollut
    1.59
     Pruitt
    1.59
     groundwater
    1.58
     ozone
    1.54
     pollutants
    1.54
    Activations Density 0.647%

    No Known Activations