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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
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    INDEX
    Explanations

    phrases related to environmental protection agencies

    oai_token-act-pair · gpt-3.5-turbo

    references to the Environmental Protection Agency and related environmental topics

    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
    ppa
    -0.80
    doms
    -0.76
    bery
    -0.73
    olded
    -0.71
    heading
    -0.70
    zai
    -0.70
    gran
    -0.69
    iple
    -0.69
    aus
    -0.68
    strap
    -0.67
    POSITIVE LOGITS
     Environment
    1.05
     Protection
    0.92
     Environmental
    0.89
     Resources
    0.87
     Agency
    0.87
     Affairs
    0.86
     Conservation
    0.82
     Assistance
    0.81
    Environmental
    0.80
     Facilities
    0.80
    Activations Density 0.019%

    No Known Activations