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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. 11-RES-JB
    6. 23125
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    Explanations

    phrases related to writing or marking things down

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the presence of items or characteristics associated with "with."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    wake
    -0.72
    herer
    -0.72
    empl
    -0.71
    imb
    -0.70
    wit
    -0.68
    iltr
    -0.66
    roup
    -0.65
    cosystem
    -0.65
    unker
    -0.64
    station
    -0.64
    POSITIVE LOGITS
     slogans
    1.16
     logos
    1.11
     phrases
    1.11
     hasht
    1.06
     quotes
    1.04
     initials
    0.99
     stickers
    0.99
     pictures
    0.99
     "#
    0.99
     swast
    0.98
    Activations Density 0.177%

    No Known Activations