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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. 0-RES-JB
    11. 4969
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    Explanations

    mentions of errors or mistakes

    oai_token-act-pair · gpt-3.5-turbo

    references to errors or mistakes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ourses
    -0.71
    bread
    -0.68
     hosted
    -0.67
    hed
    -0.67
    aday
    -0.66
     Dimensions
    -0.59
    rams
    -0.59
    ovi
    -0.59
    sets
    -0.58
    atories
    -0.58
    POSITIVE LOGITS
     mistake
    4.06
     mistakes
    2.47
     error
    2.02
     misunderstanding
    1.97
     typo
    1.92
     mistaken
    1.80
     misinterpret
    1.63
     errors
    1.62
     misconception
    1.61
     misunderstand
    1.57
    Activations Density 0.019%

    No Known Activations