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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. 10-RES-JB
    6. 13938
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    INDEX
    Explanations

    references to articles in prominent publications

    oai_token-act-pair · gpt-3.5-turbo

    mentions of well-known publications or articles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    strap
    -0.74
    obyl
    -0.69
     checkpoints
    -0.68
    ulkan
    -0.68
    wards
    -0.68
     tours
    -0.67
    ase
    -0.65
    ucha
    -0.64
     inspecting
    -0.64
     deployments
    -0.64
    POSITIVE LOGITS
     journal
    1.24
     Huffington
    1.23
     Observer
    1.20
     Journal
    1.20
     Guardian
    1.17
     Daily
    1.15
     Telegraph
    1.08
     Weekly
    1.07
     Lancet
    1.06
     Gazette
    1.06
    Activations Density 0.109%

    No Known Activations