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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. 7128
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    Explanations

    mentions of legal or controversial situations involving individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    instances of scandals or controversies involving legal issues and public figures

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ":["
    -0.69
     partName
    -0.68
    endif
    -0.62
    ":"/
    -0.62
    ahime
    -0.60
    DragonMagazine
    -0.60
     largeDownload
    -0.59
    MSN
    -0.57
    ][/
    -0.56
    eous
    -0.56
    POSITIVE LOGITS
     unsuccessful
    0.67
     allegedly
    0.66
     scandal
    0.65
     unsuccessfully
    0.63
     wrongly
    0.61
     faulty
    0.61
     improperly
    0.61
     mistakenly
    0.59
     illegally
    0.59
     unexpectedly
    0.59
    Activations Density 1.069%

    No Known Activations