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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. 3-RES-JB
    6. 14571
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    Explanations

    proper names of people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffff
    -0.68
     circulating
    -0.67
    ividual
    -0.67
    anyl
    -0.67
    bats
    -0.67
    ¥ŀ
    -0.67
    ecause
    -0.66
    lance
    -0.65
    dfx
    -0.64
    ascript
    -0.64
    POSITIVE LOGITS
     Moore
    1.01
     Anders
    0.93
     Hansen
    0.90
     Rodgers
    0.90
     Roberts
    0.88
     Gomez
    0.87
     Kelley
    0.87
     Bauer
    0.86
     Robertson
    0.84
     Carter
    0.83
    Activations Density 0.241%

    No Known Activations