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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. 7-RES-JB
    11. 2924
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    Explanations

    references to future timeframes, particularly the phrase 'coming [timeframe]'

    oai_token-act-pair · gpt-3.5-turbo

    references to upcoming time periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mel
    -0.90
    hemy
    -0.83
    ording
    -0.82
    paio
    -0.82
    cius
    -0.81
    pelling
    -0.80
    ooters
    -0.79
    gor
    -0.77
    ertodd
    -0.75
    olkien
    -0.74
    POSITIVE LOGITS
     weeks
    1.10
     generations
    1.09
     months
    0.99
     days
    0.99
     week
    0.88
     installment
    0.88
     attractions
    0.86
     editions
    0.86
     years
    0.84
     decades
    0.83
    Activations Density 0.030%

    No Known Activations