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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. 535
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    INDEX
    Explanations

    mentions of donations and fundraising activities

    oai_token-act-pair · gpt-3.5-turbo

    references to donation amounts and fundraising details

    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
    bolt
    -0.80
     msec
    -0.79
    Frames
    -0.77
    aptic
    -0.75
    ĸļ
    -0.75
    anoia
    -0.73
    ÃĽ
    -0.73
     Clockwork
    -0.73
     NTS
    -0.73
    Temperature
    -0.72
    POSITIVE LOGITS
     donation
    2.19
     donations
    2.14
     donating
    2.05
     donors
    2.04
     donate
    1.97
     fundra
    1.96
     fundraising
    1.94
     donor
    1.88
     donated
    1.86
     philanthrop
    1.83
    Activations Density 0.632%

    No Known Activations