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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. 1-RES-JB
    6. 19242
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    Explanations

    references to different public libraries

    oai_token-act-pair · gpt-3.5-turbo

    references to libraries

    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
    empt
    -0.65
     believer
    -0.65
    engeance
    -0.62
    natal
    -0.61
    eded
    -0.61
    pid
    -0.60
    ls
    -0.60
    charged
    -0.60
     believers
    -0.60
    ought
    -0.59
    POSITIVE LOGITS
     Library
    1.12
    Library
    0.90
    gate
    0.88
     Libraries
    0.88
    ibrary
    0.88
    ibrarian
    0.84
    HCR
    0.81
    conservancy
    0.81
    sonian
    0.80
    ystem
    0.80
    Activations Density 0.008%

    No Known Activations