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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. 135
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    INDEX
    Explanations

    words related to time durations and future plans

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating anticipation or future plans

    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
    xtap
    -0.61
     tended
    -0.60
    uphem
    -0.59
     objected
    -0.58
     drew
    -0.56
     dividing
    -0.56
     instinctively
    -0.55
     dehuman
    -0.55
     differed
    -0.55
     copied
    -0.55
    POSITIVE LOGITS
     tomorrow
    0.92
     hereafter
    0.89
     someday
    0.88
     hopefully
    0.84
    Hopefully
    0.80
    eday
    0.79
     anytime
    0.77
    morrow
    0.74
     2019
    0.73
     ASAP
    0.73
    Activations Density 1.601%

    No Known Activations