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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. 10-RES-JB
    11. 14156
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    Explanations

    references to software installation and setup instructions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to software installation processes

    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
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    ombs
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    pee
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    geon
    -0.70
    pees
    -0.70
    telling
    -0.69
    emic
    -0.68
    POSITIVE LOGITS
     dependencies
    0.75
     installs
    0.73
    ment
    0.71
     Krypt
    0.69
     packages
    0.67
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    0.66
    antly
    0.65
     onto
    0.64
     Kali
    0.64
     Gent
    0.63
    Activations Density 0.030%

    No Known Activations