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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. 0-RES-JB
    11. 6552
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    INDEX
    Explanations

    mentions of specific labs or research institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to various labs and laboratories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     forc
    -0.71
     sinful
    -0.67
     obscene
    -0.67
     repentance
    -0.65
    hammad
    -0.65
     honour
    -0.65
     divine
    -0.64
     sob
    -0.64
     inward
    -0.64
     violent
    -0.62
    POSITIVE LOGITS
     Labs
    4.10
     Laboratories
    2.77
     labs
    2.19
     Laboratory
    1.69
     Lab
    1.67
     laboratories
    1.47
     Technologies
    1.44
     lab
    1.34
    Lab
    1.31
     Studios
    1.16
    Activations Density 0.029%

    No Known Activations