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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. 10-RES-JB
    11. 9993
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    oai_token-act-pair · gpt-3.5-turbo

    references to domain names and associated registration details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Clement
    -0.75
    eph
    -0.73
    thus
    -0.70
    iah
    -0.70
    rike
    -0.64
    hran
    -0.64
    Hour
    -0.63
    gdala
    -0.63
    hou
    -0.61
     Cros
    -0.61
    POSITIVE LOGITS
     regist
    1.03
     registrations
    0.93
     domains
    0.90
     name
    0.89
     domain
    0.88
     registration
    0.87
     suffix
    0.82
     names
    0.81
    names
    0.81
    Names
    0.81
    Activations Density 0.033%

    No Known Activations