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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 15035
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    INDEX
    Explanations

    numeric or special character sequences

    oai_token-act-pair · gpt-3.5-turbo

    references to data or statistics related to governmental or organizational topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     destro
    -0.68
     describ
    -0.66
     sculpt
    -0.65
     carving
    -0.63
     unconditional
    -0.62
     triv
    -0.61
     crunch
    -0.61
     dismant
    -0.61
     behaviour
    -0.61
     frontline
    -0.61
    POSITIVE LOGITS
    Advertisements
    1.12
    Copyright
    1.08
    Reviewer
    1.04
    Information
    1.03
    RAW
    1.02
    Whether
    1.02
    Spoiler
    1.02
    Contribut
    1.01
    Contact
    1.01
    Topics
    1.00
    Activations Density 0.481%

    No Known Activations