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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. 11-RES-JB
    11. 1364
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    Explanations

    email-related terms and types of communication methods

    oai_token-act-pair · gpt-3.5-turbo

    references to data collection and surveillance activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aine
    -0.84
     Beir
    -0.79
     Chaser
    -0.70
    é¾
    -0.69
     Minotaur
    -0.69
    arten
    -0.69
    galitarian
    -0.69
    slaught
    -0.67
     Ake
    -0.67
    itas
    -0.66
    POSITIVE LOGITS
     emails
    1.50
     passwords
    1.45
     texts
    1.45
     fax
    1.40
     SMS
    1.36
     chats
    1.36
     voic
    1.35
     Emails
    1.29
     calendars
    1.28
     attachments
    1.25
    Activations Density 0.176%

    No Known Activations