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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
    11. 15396
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    INDEX
    Explanations

    mentions of or references to projects or initiatives

    oai_token-act-pair · gpt-3.5-turbo

    references to various projects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    gans
    -0.76
    osate
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    alties
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    DOS
    -0.73
    lua
    -0.71
    vae
    -0.71
    bane
    -0.71
    dos
    -0.71
    gel
    -0.70
    ãģĦ
    -0.67
    POSITIVE LOGITS
     Gutenberg
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     project
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    projects
    0.83
    ors
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     projects
    0.81
     skelet
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    ually
    0.79
    eers
    0.78
    JECT
    0.77
     undertaken
    0.75
    Activations Density 0.031%

    No Known Activations