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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. 8-RES-JB
    6. 16567
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    Explanations

    addresses and locations indicated in text

    oai_token-act-pair · gpt-3.5-turbo

    address locations or geographical identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    merga
    -0.92
    odic
    -0.83
     largeDownload
    -0.75
     herds
    -0.72
     proteins
    -0.72
     grains
    -0.71
     berries
    -0.65
    iosis
    -0.64
    lied
    -0.64
     grou
    -0.64
    POSITIVE LOGITS
     Suite
    1.35
     Seattle
    1.04
     Pasadena
    1.02
     Dublin
    1.00
     Melbourne
    1.00
     Jacksonville
    0.99
     Louisville
    0.98
     Bangkok
    0.98
     Minneapolis
    0.98
     downtown
    0.97
    Activations Density 0.123%

    No Known Activations