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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. 11-RES-JB
    11. 11658
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    Explanations

    abbreviations specific to teams or companies

    oai_token-act-pair · gpt-3.5-turbo

    specific identifiers or labels, likely representing brands, companies, or product names

    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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    No Comments

    Negative Logits
     Marketable
    -0.67
     gra
    -0.64
     dos
    -0.61
    ãĤ°
    -0.60
     socks
    -0.57
     FedEx
    -0.57
     nont
    -0.56
     uns
    -0.56
     nic
    -0.56
     Ta
    -0.55
    POSITIVE LOGITS
    lamm
    0.99
    uffer
    0.89
    ommel
    0.88
    ombat
    0.86
    ThumbnailImage
    0.86
    ounded
    0.85
    APD
    0.85
    arma
    0.85
    ornia
    0.83
    ainted
    0.83
    Activations Density 0.196%

    No Known Activations