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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. 9-RES-JB
    6. 877
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    Explanations

    phrases starting with "Did you" indicating the start of a question being asked

    oai_token-act-pair · gpt-3.5-turbo

    questions beginning with "Did you" that prompt for information or awareness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Connector
    -0.73
    accompan
    -0.72
    artifacts
    -0.71
    currently
    -0.70
     presently
    -0.65
    Rel
    -0.65
     currently
    -0.62
     Frie
    -0.61
    limits
    -0.61
    ems
    -0.60
    POSITIVE LOGITS
     realise
    0.90
     mistake
    0.86
     notice
    0.84
     realize
    0.83
     catch
    0.82
     miss
    0.81
     mention
    0.79
     typo
    0.77
     originally
    0.75
     learn
    0.74
    Activations Density 0.143%

    No Known Activations