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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. 8-RES-JB
    11. 11479
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    Explanations

    dates in a specific format, specifically dates in Month Day Year format

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hindsight
    -0.81
     arrang
    -0.77
    paio
    -0.70
    keley
    -0.65
     tray
    -0.64
     mathemat
    -0.63
     corridors
    -0.61
    ossibility
    -0.61
     pockets
    -0.59
     heirs
    -0.59
    POSITIVE LOGITS
    Ñı
    0.91
     04
    0.89
     09
    0.89
     05
    0.88
     Accessed
    0.88
     27
    0.87
     07
    0.86
     28
    0.85
     01
    0.85
     29
    0.84
    Activations Density 0.033%

    No Known Activations