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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. 21524
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    Explanations

    phrases related to long durations of time

    oai_token-act-pair · gpt-3.5-turbo

    references to durations specifically measured in "long" periods of time

    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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    No Comments

    Negative Logits
    onom
    -0.79
    icket
    -0.75
    ulkan
    -0.73
     Peb
    -0.69
    Earth
    -0.68
    ku
    -0.68
    osponsors
    -0.67
     Allaah
    -0.67
     Tickets
    -0.66
    ARCH
    -0.66
    POSITIVE LOGITS
     ordeal
    0.86
     ago
    0.86
     tir
    0.82
     deliberations
    0.80
     operation
    0.79
     uninterrupted
    0.78
    rontal
    0.78
     hiatus
    0.78
     correspondence
    0.77
     slog
    0.77
    Activations Density 0.026%

    No Known Activations