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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. 9-RES-JB
    11. 10242
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    Explanations

    phrases related to applying for something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to applying for various types of protections and permits

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    cape
    -0.70
    stead
    -0.69
    ï¸ı
    -0.69
     vividly
    -0.68
    imgur
    -0.67
    down
    -0.67
    vous
    -0.67
    pur
    -0.66
    flame
    -0.64
    ighed
    -0.63
    POSITIVE LOGITS
     exemptions
    1.20
     exemption
    1.13
     inclusion
    1.06
     visas
    1.04
     eligibility
    0.99
     waivers
    0.96
     licenses
    0.93
     asylum
    0.93
     permission
    0.93
     licences
    0.92
    Activations Density 0.151%

    No Known Activations