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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. 6-RES-JB
    11. 14076
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    Explanations

    time-related phrases or references specifically involving the timeframe of 24 hours

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "24" related to time intervals or duration

    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
    atown
    -0.94
    lda
    -0.93
    enegger
    -0.92
    ovie
    -0.86
     Beir
    -0.82
    achu
    -0.78
    icago
    -0.78
    ileaks
    -0.78
    arro
    -0.75
    atchewan
    -0.75
    POSITIVE LOGITS
    00
    0.89
     hrs
    0.84
     hours
    0.82
    teen
    0.80
    th
    0.79
    576
    0.78
     Hours
    0.77
    hours
    0.77
    288
    0.72
    Hour
    0.71
    Activations Density 0.029%

    No Known Activations