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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. 1881
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    Explanations

    phrases related to policies, specifically around environmental standards, disaster recovery, humanitarian relief, transportation, crime prevention, education, and labor

    oai_token-act-pair · gpt-3.5-turbo

    terms related to environmental and social issues, particularly regarding clean energy, pollution reduction, and public health

    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
    estamp
    -0.88
    icter
    -0.80
     Psychiat
    -0.74
    cised
    -0.70
    ouple
    -0.68
    ueless
    -0.67
    yip
    -0.65
    beit
    -0.65
    oidal
    -0.65
    inese
    -0.64
    POSITIVE LOGITS
     initiatives
    1.27
     programs
    1.25
     efforts
    1.22
     priorities
    1.22
     budgets
    1.13
     operations
    1.06
     investments
    1.06
     partnerships
    1.05
     protections
    1.04
     policies
    1.04
    Activations Density 0.344%

    No Known Activations