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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. 5-RES-JB
    6. 14882
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    Explanations

    keywords related to leaked or classified information, potentially from large scale information releases such as WikiLeaks

    oai_token-act-pair · gpt-3.5-turbo

    terms related to leaking and exposing information or documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stad
    -0.73
     neigh
    -0.70
    nir
    -0.70
     Gau
    -0.69
    inis
    -0.69
    allic
    -0.68
    vic
    -0.68
     XIII
    -0.67
    inence
    -0.67
    ural
    -0.64
    POSITIVE LOGITS
     trove
    1.31
     WikiLeaks
    1.22
     whistlebl
    1.18
     Snowden
    1.11
     revelations
    1.10
     whistleblower
    1.09
     Wikileaks
    1.08
     disclosures
    1.07
    ileaks
    1.07
    Leaks
    1.06
    Activations Density 0.138%

    No Known Activations