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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. 2777
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    Explanations

    dates mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    comma-separated dates or timestamps

    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
    brainer
    -0.66
    cards
    -0.66
     headaches
    -0.63
    keye
    -0.63
     withd
    -0.63
     isolation
    -0.62
     exha
    -0.61
    alone
    -0.60
     schemes
    -0.60
     accompl
    -0.60
    POSITIVE LOGITS
     Accessed
    0.85
     06
    0.76
     2018
    0.75
     08
    0.74
    ãģ®å®
    0.74
     Pt
    0.74
     2017
    0.71
     09
    0.69
    Putin
    0.69
     04
    0.69
    Activations Density 0.086%

    No Known Activations