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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. 10-RES-JB
    6. 23997
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    Explanations

    names of people related to legal or ethical controversies

    oai_token-act-pair · gpt-3.5-turbo

    references to allegations or accusations involving individuals and misconduct

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alg
    -0.71
    phabet
    -0.70
     uniqueness
    -0.70
    eatures
    -0.70
     clarity
    -0.68
    ainment
    -0.66
    ciation
    -0.66
     reunion
    -0.66
     partName
    -0.65
    ciating
    -0.65
    POSITIVE LOGITS
     improperly
    1.50
     misled
    1.43
     manipulated
    1.39
     illegally
    1.34
     knowingly
    1.32
     inappropriately
    1.32
     lied
    1.30
     unlawfully
    1.30
     fals
    1.28
     violated
    1.28
    Activations Density 0.391%

    No Known Activations