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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. 19811
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    Explanations

    phrases related to labor rights and negotiations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to social or labor advocacy

    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
    ĸļ
    -0.76
    auga
    -0.72
    £ı
    -0.70
     Buk
    -0.69
     Proto
    -0.68
     Rept
    -0.68
     canine
    -0.65
     Jehovah
    -0.65
    aho
    -0.65
    vier
    -0.62
    POSITIVE LOGITS
     royalties
    1.23
     expenses
    1.21
     taxes
    1.20
     fees
    1.17
     revenues
    1.11
     profits
    1.10
     entitle
    1.09
     expenditures
    1.08
     cents
    1.07
     profitability
    1.03
    Activations Density 0.150%

    No Known Activations