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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. 12-RES-JB
    11. 2501
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    Explanations

    specific references to events or locations, particularly involving legal issues and environmental incidents

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    mentions of the word "Per" as part of various contexts in the document

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    terday
    -0.77
     bidding
    -0.65
    ATIONAL
    -0.64
     wisely
    -0.63
     finance
    -0.62
     sponsorship
    -0.62
     builders
    -0.61
    INESS
    -0.60
     sexism
    -0.60
     homelessness
    -0.60
    POSITIVE LOGITS
    uvian
    1.46
    vez
    1.33
    due
    1.22
    ipher
    1.14
    rier
    1.12
    imeter
    1.10
    dit
    1.08
    uana
    1.07
    icles
    1.05
    agus
    1.05
    Activations Density 0.020%

    No Known Activations