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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. 4-RES-JB
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    Explanations

    government ministries or departments mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    references to various governmental ministries and their functions

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

    No Comments

    Negative Logits
    pson
    -0.74
     seams
    -0.71
     Schw
    -0.70
    kson
    -0.70
     creek
    -0.68
    anos
    -0.65
     schematic
    -0.65
     Stanford
    -0.65
     arteries
    -0.65
     MFT
    -0.63
    POSITIVE LOGITS
    accompan
    0.72
    corruption
    0.72
     Ban
    0.69
     Maid
    0.69
    Govern
    0.68
     Honour
    0.68
     oversees
    0.67
     Affairs
    0.66
    chief
    0.66
     apologised
    0.65
    Activations Density 0.131%

    No Known Activations