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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. 5604
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    Explanations

    information related to safety and security

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to safety and secure practices

    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
     Stern
    -0.79
    imon
    -0.62
     Actions
    -0.61
     Appearance
    -0.60
     response
    -0.60
    inda
    -0.59
    ovi
    -0.59
     recruitment
    -0.58
     Ost
    -0.57
     Karl
    -0.57
    POSITIVE LOGITS
     safely
    3.95
     securely
    1.98
     safe
    1.80
     comfortably
    1.77
     confidently
    1.72
    safe
    1.67
     efficiently
    1.65
     peacefully
    1.63
     safest
    1.60
     responsibly
    1.59
    Activations Density 0.012%

    No Known Activations