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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. 1-RES-JB
    11. 6424
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    Explanations

    places or establishments where people can shop or make purchases

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of shops

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vous
    -0.70
     accur
    -0.66
     Governments
    -0.65
    Documents
    -0.64
     Rockefeller
    -0.63
     Framework
    -0.62
     Couch
    -0.61
    DF
    -0.61
     Documents
    -0.60
     IPCC
    -0.60
    POSITIVE LOGITS
     shop
    1.41
    shop
    1.14
     shops
    1.12
    lifting
    1.04
    keeper
    1.04
    keepers
    1.02
     Shop
    1.02
    andise
    0.98
    hops
    0.93
    ery
    0.88
    Activations Density 0.007%

    No Known Activations