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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. 7-RES-JB
    11. 11082
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    Explanations

    specific syntactical structures at the end of sentences

    oai_token-act-pair · gpt-3.5-turbo

    sets of punctuation marks, particularly periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    enegger
    -0.57
     advis
    -0.53
     Zoo
    -0.53
     confidentiality
    -0.53
     deceptive
    -0.53
     whistleblowers
    -0.50
     confidential
    -0.49
     scoring
    -0.49
     privacy
    -0.49
     assassin
    -0.48
    POSITIVE LOGITS
    imgur
    0.90
    seed
    0.72
    aca
    0.72
    usp
    0.70
    annis
    0.70
    Lenin
    0.68
    degree
    0.66
    acan
    0.66
    edu
    0.64
    uper
    0.64
    Activations Density 0.027%

    No Known Activations