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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. 0-RES-JB
    11. 2103
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    oai_token-act-pair · gpt-3.5-turbo

    references to email and email-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Aqu
    -0.65
     Indigenous
    -0.65
     compet
    -0.63
     divided
    -0.62
     bip
    -0.62
     Fug
    -0.61
     Vin
    -0.60
     Genesis
    -0.60
     Viv
    -0.60
     laid
    -0.59
    POSITIVE LOGITS
    mail
    4.56
    mails
    3.36
    Mail
    2.66
     mail
    2.08
     Mail
    1.85
    email
    1.47
    Email
    1.41
     Email
    1.36
     email
    1.35
    letter
    1.33
    Activations Density 0.010%

    No Known Activations