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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 9893
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    email addresses

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "email" and related actions

    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
     harmon
    -0.73
     treatment
    -0.69
     paradox
    -0.69
     stable
    -0.67
     scene
    -0.67
     displacement
    -0.67
     rays
    -0.66
     concentration
    -0.66
     par
    -0.65
     phenomena
    -0.62
    POSITIVE LOGITS
    Email
    3.87
    email
    2.00
     Email
    1.96
     Emails
    1.73
     email
    1.65
    Mail
    1.47
    mail
    1.42
    Contact
    1.37
     emails
    1.36
     emailed
    1.36
    Activations Density 0.015%

    No Known Activations