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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. 10346
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    Explanations

    email-related phrases

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to email confirmations and newsletter registrations

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    Negative Logits
    asers
    -0.69
     sequ
    -0.66
    released
    -0.62
    aser
    -0.61
    ayan
    -0.60
    andom
    -0.59
    cott
    -0.57
    kamp
    -0.57
    holding
    -0.56
    isu
    -0.55
    POSITIVE LOGITS
     Cancel
    0.99
    ļéĨĴ
    0.88
     timeout
    0.70
     {*
    0.68
     Error
    0.66
     Errors
    0.66
    Email
    0.64
     retrieving
    0.64
     Gmail
    0.64
     Reset
    0.64
    Activations Density 0.082%

    No Known Activations