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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. 11-RES-JB
    6. 24486
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    Explanations

    dates and times mentioned in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    timestamps and publication dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ATIVE
    -0.61
     offerings
    -0.60
    ãĥ¯ãĥ³
    -0.60
    åħī
    -0.59
    channelAvailability
    -0.58
    ilitary
    -0.58
     stocking
    -0.58
    andise
    -0.57
     LIFE
    -0.57
     lockout
    -0.56
    POSITIVE LOGITS
     Jul
    1.23
     Sep
    1.22
     Apr
    1.20
     Thu
    1.19
     Jun
    1.15
     Tue
    1.10
     07
    1.09
     03
    1.06
     02
    1.06
     Fri
    1.06
    Activations Density 0.065%

    No Known Activations