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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 14250
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    Explanations

    references to software and technology services

    oai_token-act-pair · gpt-3.5-turbo

    references to file sharing services and related applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥİ
    -0.73
    istical
    -0.71
     mechanically
    -0.71
     deficiency
    -0.71
    outhern
    -0.70
    idates
    -0.67
    iscal
    -0.67
     toughness
    -0.66
    boys
    -0.66
     specimens
    -0.66
    POSITIVE LOGITS
     Dropbox
    1.51
     Skype
    1.38
     Gmail
    1.32
     Google
    1.30
     Airbnb
    1.29
     Spotify
    1.27
     Yelp
    1.24
     Snapchat
    1.23
     WhatsApp
    1.20
     Lyft
    1.20
    Activations Density 0.304%

    No Known Activations