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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. 21442
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    Explanations

    dates and time-related information

    oai_token-act-pair · gpt-3.5-turbo

    temporal references or conditions affecting actions

    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
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    Negative Logits
    itiveness
    -0.70
    emo
    -0.68
    Oregon
    -0.64
    -)
    -0.64
    communications
    -0.62
    McC
    -0.61
    Reviewer
    -0.60
     Lumin
    -0.59
     VIDEOS
    -0.59
    osity
    -0.57
    POSITIVE LOGITS
     offshore
    0.71
     unspecified
    0.64
     respectively
    0.64
     safegu
    0.59
     subsid
    0.59
     refurb
    0.59
     risking
    0.59
     2019
    0.58
     breaching
    0.57
    kefeller
    0.57
    Activations Density 0.627%

    No Known Activations