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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. 10-RES-JB
    11. 10067
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    Explanations

    date and time-related information

    oai_token-act-pair · gpt-3.5-turbo

    structured date and time formats

    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
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    Negative Logits
     spons
    -0.73
     combust
    -0.61
     crooked
    -0.61
     sucker
    -0.60
     beetle
    -0.59
     wasteful
    -0.59
     memor
    -0.59
    nces
    -0.58
     reconc
    -0.57
     understatement
    -0.57
    POSITIVE LOGITS
    UTC
    1.22
     GMT
    0.94
    GMT
    0.89
     UTC
    0.85
     PDT
    0.82
    isu
    0.79
     EST
    0.75
     Rating
    0.74
     PST
    0.74
     EDT
    0.74
    Activations Density 0.059%

    No Known Activations